arXivDaily arXiv每日学术速递 周一至周五更新

科学与医疗

医学 AI

医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。

共收录 8264 信号源:cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 诊断辅助 8264 篇

2608.17231 2026-08-19 cs.LG cs.AI 新提交 61%

Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection

Delta2Gamma:面向阿尔茨海默病检测的脑电信号频带自适应对比学习

Chanwoo Park, Chanwoo Kim

机构 * Korea University(高丽大学)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

AI总结 Delta2Gamma是一种自监督EEG表征学习框架,通过分解EEG为5个神经节律并自适应平衡各频带,在ADFTD队列上以92.4%的准确率实现阿尔茨海默病检测,性能优于相关方法。

Comments Accepted to 2026 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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2608.08566 2026-08-11 cs.CV cs.AI 新提交 61%

On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggregation

基于不确定性校准的玻片级聚合的设备端多物种疟疾检测

Idaya Seidu, Ahmed Tahiru Issah, Charles B. Delahunt, Carine Mukamakuza

机构 * Carnegie Mellon University Africa(卡内基梅隆大学非洲分校) University of Washington(华盛顿大学)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical AI(comments)

AI总结 针对资源有限地区疟疾检测的临床约束,开发基于YOLOv13n的设备端多物种疟疾检测系统,满足多物种鉴别等要求,在2739张图像上实现较高检测精度与聚合性能。

Comments Accepted at The Fifth Workshop on Applications of Medical AI (AMAI) 2026, a satellite event at MICCAI 2026. To appear in Springer Lecture Notes in Computer Science (LNCS)

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2605.29221 2026-05-29 cs.CV 61%

An Approach for Thyroid Nodule Analysis Using Thermographic Images

使用热成像图像进行甲状腺结节分析的方法

J. R. González, É. O. Rodrigues, C. P. Damião, C. A. P. Fontes, A. C. Silva, A. C. Paiva, H. Li, C. Du, A. Conci

机构 * Computer Science Department, Universidade Federal Fluminense(联邦弗里蒙特大学计算机科学系) Radiology Department, Hospital Universitário Antônio Pedro (HUAP)(安东尼奥佩德罗大学医院放射科) Applied Computation Group NCA-UFMA, Universidade Federal do Maranhão(马兰舍大学应用计算组NCA-UFMA)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;biomedical(journal_ref)

AI总结 本文综述了热成像在甲状腺分析中的应用,提出图像采集协议和自主配准方法,并通过特征提取、图像处理和分类方法区分健康与患病患者。

Journal ref Application of Infrared to Biomedical Sciences 2017

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2605.20245 2026-05-21 cs.SI cs.LG 61%

Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection

Prism:通过双重视约束拉普拉斯投影进行结构对称性扫描

Jiatong Xie

机构 * Independent researcher(独立研究者)

专题命中 诊断辅助 :diagnosis(abstract,comments);分类 cs.LG

AI总结 Prism通过双重视约束拉普拉斯投影方法,利用图拉普拉斯矩阵和双重视算子计算结构对称性缺陷,以检测复杂网络的结构自一致性偏离程度,并在不同数据集上验证其在社区检测和结构应力检测中的有效性。

Comments 10 pages, 4 tables, 1 figure. This work presents a first-principles unsupervised network structural diagnosis framework based on symmetric involution operator and Laplacian commutator constraint. It achieves noise-robust community detection and early structural risk detection in financial time-series networks without supervised training data

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2604.15711 2026-05-08 cs.CV cs.AI 61%

SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification

SSMamba: 一种用于病理图像分类的自监督混合状态空间模型

Enhui Chai, Sicheng Chen, Tianyi Zhang, Xingyu Li, Tianxiang Cui

机构 * School of Computer Science, Northwest University(西北大学计算机科学学院) PuzzleLogic Pte Ltd, Singapore(新加坡PuzzleLogic公司) Department of Electrical & Computer Engineering, National University of Singapore(新加坡国立大学电子与计算机工程系) School of Computer Science, University of Nottingham Ningbo China(中国诺丁汉大学 Ningbo 分校计算机科学学院)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical image(journal_ref)

AI总结 本文提出SSMamba,一种混合自监督框架,通过MAMIM、DMS和LPR模块解决病理图像分析中的领域偏移、局部-全局关系建模和细粒度敏感性问题,优于现有方法。

Journal ref Medical Image Analysis, Volume 111, June 2026, 104080

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2604.00854 2026-04-02 cs.CV 61%

Perturb-and-Restore: Simulation-driven Structural Augmentation Framework for Imbalance Chromosomal Anomaly Detection

扰动与恢复:用于不平衡染色体异常检测的仿真驱动结构增强框架

Yilan Zhang, Hanbiao Chen, Changchun Yang, Yuetan Chu, Siyuan Chen, Jing Wu, Jingdong Hu, Na Li, Junkai Su, Yuxuan Chen, Ao Xu, Xin Gao, Aihua Yin

机构 * King Abdullah University of Science and Technology (KAUST)(阿卜杜拉国王科技大学) Guangdong Provincial Maternal and Child Health Hospital(广东省妇幼保健院) Smiltec

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;biomedical(comments)

AI总结 本文提出P&R框架,通过仿真生成合成异常染色体数据,缓解数据不平衡问题,提升染色体异常检测的准确率和召回率。

Comments This preprint version of the manuscript has been submitted to the IEEE Journal of Biomedical and Health Informatics (JBHI) for review

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2602.22267 2026-02-27 cs.LG 61%

Data-Driven Supervision of a Thermal-Hydraulic Process Towards a Physics-Based Digital Twin

数据驱动的热力过程监督以实现基于物理的数字孪生

Osimone Imhogiemhe, Yoann Jus, Hubert Lejeune, Saïd Moussaoui

机构 * Nantes Univ., Centrale Nantes LS2N, CNRS UMR 6004 F-44000 Nantes, France Fluid \& Sealing Technologies CETIM Nantes, France

专题命中 诊断辅助 :diagnosis(abstract,journal_ref);分类 cs.LG

AI总结 本文提出了一种基于物理的数字孪生方法,通过数值模拟和机器学习实现热力过程的故障检测与诊断,验证了其在参数变化检测中的有效性。

Journal ref International Conference on Control, Automation and Diagnosis, Jul 2025, Barcelona (ES), Spain

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2512.24260 2026-01-05 cs.CV 61%

Physically-Grounded Manifold Projection Model for Generalizable Metal Artifact Reduction in Dental CBCT

基于物理的流形投影模型用于通用金属伪影减少在牙科CBCT

Zhi Li, Yaqi Wang, Bingtao Ma, Yifan Zhang, Huiyu Zhou, Shuai Wang

机构 * School of Cyberspace, Hangzhou Dianzi University(电子科技大学信息学院) Innovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University(电子科技大学电子设计自动化创新中心) Hangzhou Geriatric Stomatology Hospital, Hangzhou Dental Hospital Group(杭州老年口腔医院,杭州口腔医院集团) School of Computing and Mathematical Sciences, University of Leicester(莱斯特大学计算与数学科学学院)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical image(comments)

AI总结 本文提出基于物理的流形投影模型,通过合成数据和临床数据实验,实现了更高效且可靠的牙科CBCT中金属伪影减少。

Comments This manuscript has been submitted to Medical Image Analysis for peer review

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2512.18450 2025-12-23 cs.AI cs.CV cs.MA 61%

Agent-Based Output Drift Detection for Breast Cancer Response Prediction in a Multisite Clinical Decision Support System

基于代理的输出漂移检测用于多中心临床决策支持系统中的乳腺癌反应预测

Xavier Rafael-Palou, Jose Munuera, Ana Jimenez-Pastor, Richard Osuala, Karim Lekadir, Oliver Diaz

专题命中 诊断辅助 :clinical AI(abstract);分类 cs.CV;diagnosis(comments)

AI总结 本文提出基于代理的多中心临床决策支持系统中的输出漂移检测方法,通过模拟多中心环境验证了其在乳腺癌反应预测中的有效性,展示了自适应方案在漂移检测和严重性分类上的优越性能。

Comments Accepted at MICAD (Medical Imaging and Computer-Aided Diagnosis) 2025

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2512.14196 2025-12-17 cs.CV 61%

Fracture Morphology Classification: Local Multiclass Modeling for Multilabel Complexity

骨折形态分类:多标签复杂性中的局部多类建模

Cassandra Krause, Mattias P. Heinrich, Ron Keuth

机构 * Institut für Medizinische Informatik, Universität zu Lübeck(吕贝克大学医学信息学研究所)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical image(comments)

AI总结 本文提出通过自动分配全局AO代码来提取骨折形态,将全局多标签任务转化为局部多类任务,提升了F1分数,并探讨了实际部署中的挑战。

Comments Accepted as poster at the German Conference on Medical Image Computing 2026

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2509.23158 2025-12-15 cs.LG cs.AI 61%

Deep Learning-Based Detection of Cognitive Impairment from Passive Smartphone Sensing with Routine-Aware Augmentation and Demographic Personalization

基于深度学习的被动智能手机传感认知障碍检测:具有常规感知增强和人口统计学个性化

Yufei Shen, Ji Hwan Park, Minchao Huang, Jared F. Benge, Justin F. Rousseau, Rosemary A. Lester-Smith, Edison Thomaz

机构 * Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin(电气与计算机工程系,Cockrell工程学院,德克萨斯大学奥斯汀分校) Department of Neurology, Dell Medical School, The University of Texas at Austin(神经病学系,德克萨斯医学学院,德克萨斯大学奥斯汀分校) Department of Neurology, University of Texas Southwestern Medical Center(神经病学系,德克萨斯西南医学中心) Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center(彼得·奥·唐纳德·杰罗姆脑研究所,德克萨斯西南医学中心) Department of Speech, Language, and Hearing Sciences, Moody College of Communication, The University of Texas at Austin(语言病理学系,摩依学院,德克萨斯大学奥斯汀分校)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

AI总结 本文提出基于深度学习的被动智能手机传感方法,通过常规感知增强和人口统计学个性化技术,提高模型在老年人认知障碍检测中的泛化能力。

Comments Accepted at 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (IEEE BHI 2025)

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2512.03471 2025-12-09 cs.LG cs.CY 61%

SweetDeep: A Wearable AI Solution for Real-Time Non-Invasive Diabetes Screening

SweetDeep:一种用于实时无创糖尿病筛查的可穿戴AI解决方案

Ian Henriques, Lynda Elhassar, Sarvesh Relekar, Denis Walrave, Shayan Hassantabar, Vishu Ghanakota, Adel Laoui, Mahmoud Aich, Rafia Tir, Mohamed Zerguine, Samir Louafi, Moncef Kimouche, Emmanuel Cosson, Niraj K Jha

机构 * Department of Electrical and Computer Engineering, Princeton University(普林斯顿大学电气与计算机工程系) NeuTigers, Inc.(NeuTigers公司) AP-HP Avicennes, Bobigny, France(法国AP-HP阿维尼翁医院) Clinic International Constantine, Constantine, Algeria(阿尔及利亚康斯坦丁国际诊所)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

AI总结 SweetDeep利用轻量级神经网络和工程特征,在真实可穿戴设备上实现了高准确率的2型糖尿病无创筛查。

Comments 12 pages, 6 figures. Submitted to the IEEE Journal of Biomedical and Health Informatics

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2402.06213 2025-11-20 cs.CV 61%

Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation

Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai

机构 * School of Computer Science, University of Sydney, Australia(悉尼大学计算机科学学院)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;biomedical(journal_ref)

Comments Accepted by ISBI 2024. Code available at https://github.com/YXSong000/UAD

Journal ref Y. Song, J. Fan, D. Liu and W. Cai, "Multi-Source-Free Domain Adaptation via Uncertainty-Aware Adaptive Distillation," 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, pp. 1-5

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2511.13353 2025-11-18 cs.CV cs.AI 61%

Semi-Supervised Multi-Task Learning for Interpretable Quality As- sessment of Fundus Images

Lucas Gabriel Telesco, Danila Nejamkin, Estefanía Mata, Francisco Filizzola, Kevin Wignall, Lucía Franco Troilo, María de los Angeles Cenoz, Melissa Thompson, Mercedes Leguía, Ignacio Larrabide, José Ignacio Orlando

机构 * UNCPBA, CONICET, Yatiris Group, Pladema Institute(UNCPBA、CONICET、Yatiris集团、Pladema研究所) Servicio de Oftalmología, Hospital de Alta Complejidad en Red ``El Cruce'' Dr. Néstor Carlos Kirchner(眼科服务,高级复杂性网络‘El Cruce’医院Dr. Néstor Carlos Kirchner)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;biomedical(journal_ref)

Journal ref Biomedical Signal Processing and Control 113 (2026) 109167

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2503.00386 2025-10-28 eess.IV 61%

Prognostic Model for Idiopathic Pulmonary Fibrosis Using Context-Aware Sequential-Parallel Hybrid Transformer and Enriched Clinical Information

Mahdie Dolatabadi, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam

专题命中 诊断辅助 :diagnosis(abstract);分类 eess.IV;biomedical(journal_ref)

Journal ref Biomedical Signal Processing and Control 2026 Vol. 113 Pages 108958

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2507.02996 2025-10-07 cs.CV 61%

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis

Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang

机构 * Department of Computer Science and Engineering, The University of Texas at Arlington(计算机科学与工程系,德克萨斯大学阿灵顿分校)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical image(journal_ref)

Comments 10.5 pages, 4 figures, MICCAI conference

Journal ref Medical Image Computing and Computer Assisted Intervention - MICCAI 2025. MICCAI 2025. Lecture Notes in Computer Science, vol 15965

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2403.06837 2025-09-24 cs.CV 61%

Individualized Mapping of Aberrant Cortical Thickness via Stochastic Cortical Self-Reconstruction

Christian Wachinger, Dennis Hedderich, Melissa Thalhammer, Fabian Bongratz

机构 * Lab for Artificial Intelligence in Medical Imaging, Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM)(人工智能在医学影像中的实验室、诊断与介入放射学研究所、医学与健康学院、TUM医院、慕尼黑技术大学) Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心) Department of Neuroradiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM)(神经放射科、医学与健康学院、TUM医院、慕尼黑技术大学)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical image(comments)

Comments Accepted for publication in Medical Image Analysis

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2505.10579 2025-05-20 cs.CV 61%

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Elodie Germani, Ilayda Selin Türk, Fatima Zeineddine, Charbel Mourad, Shadi Albarqouni

机构 * University Hospital Bonn(波恩大学医院) Technical University of Munich(慕尼黑技术大学) Lebanese Hospital Geitaoui(黎巴嫩Geitaoui医院) Helmholtz AI, Helmholtz Munich(海德堡人工智能,海德堡慕尼黑)

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical image(comments)

Comments Accepted at the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2025

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2502.19386 2025-02-27 cs.LG cs.AI 61%

Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-based Learning Framework

Ziqiao Weng, Weidong Cai, Bo Zhou

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

Comments Accepted at 2025 IEEE International Symposium on Biomedical Imaging (ISBI)

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2306.15194 2024-12-13 cs.LG 61%

Modified Feature Selection for Improved Classification of Resting-State Raw EEG Signals in Chronic Knee Pain

Jean Li, Dirk De Ridder, Divya Adhia, Matthew Hall, Jeremiah D. Deng

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

Comments 9 pages, 4 figures; accepted by IEEE Transactions on Biomedical Engineering

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2410.18298 2024-10-25 cs.LG cs.CL cs.SD eess.AS 61%

Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches

Kexin Feng, Theodora Chaspari

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

Comments accepted at the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2024)

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2410.05333 2024-10-10 cs.CR cs.LG 61%

A Global Cybersecurity Standardization Framework for Healthcare Informatics

Kishu Gupta, Vinaytosh Mishra, Aaisha Makkar

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(journal_ref)

Journal ref IEEE Journal of Biomedical and Health Informatics (2024)

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2312.00398 2024-03-04 cs.CV 61%

Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network

Quoc Hung T. Le, Hieu H. Pham

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;biomedical(comments)

Comments Accepted at ISBI 2024 (21st IEEE International Symposium on Biomedical Imaging)

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2309.02237 2023-09-06 cs.LG 61%

Sample Size in Natural Language Processing within Healthcare Research

Jaya Chaturvedi, Diana Shamsutdinova, Felix Zimmer, Sumithra Velupillai, Daniel Stahl, Robert Stewart, Angus Roberts

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

Comments Submitted to Journal of Biomedical Informatics

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2106.10352 2023-03-07 cs.LG cs.CY 61%

Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble

Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, Yixuan Wang, Yanlin Chen, Leye Wang, Man Huang

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;biomedical(comments)

Comments Accepted by the IEEE Journal of Biomedical and Health Informatics (J-BHI)

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2108.07917 2022-06-07 cs.CV 61%

Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study

Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu, Kelley Paskov, Brianna Chrisman, Nate Stockham, Peter Washington, Dennis Wall

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;biomedical(comments)

Comments JMIR Biomedical Engineering '22, To Be Presented at DataBricks Conference '22

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2003.13620 2022-05-16 cs.LG 61%

Latent-Graph Learning for Disease Prediction

Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael Bronstein

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;medical image(journal_ref)

Journal ref In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 643-653. Springer, Cham, 2020

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2107.09899 2022-02-21 cs.CV 61%

Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection

Runnan Chen, Yuexin Ma, Nenglun Chen, Lingjie Liu, Zhiming Cui, Yanhong Lin, Wenping Wang

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.CV;medical image(comments)

Comments IEEE Transactions on medical images

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2005.00840 2021-12-07 cs.LG cs.AI 61%

Decision Support for Intoxication Prediction Using Graph Convolutional Networks

Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi

专题命中 诊断辅助 :diagnosis(abstract);分类 cs.LG;medical image(journal_ref)

Comments 10 pages, 3 figures

Journal ref Medical Image Computing and Computer Assisted Intervention (MICCAI 2020)

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2109.01442 2021-09-06 eess.IV 61%

Early Detection of Retinopathy of Prematurity stage using Deep Learning approach

Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam, Anand Vinekar

专题命中 诊断辅助 :diagnosis(abstract,journal_ref);分类 eess.IV

Comments Accepted in SPIE Medical Imaging 2019

Journal ref Medical Imaging 2019: Computer-Aided Diagnosis, SPIE -2019

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