医学 AI - arXivDaily 专题

2105.09511 2021-06-03 eess.IV cs.CV 86%

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Goh

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Camera ready for IJCAI'2021

2101.04793 2021-01-14 eess.IV cs.CV 86%

Generative Adversarial U-Net for Domain-free Medical Image Augmentation

Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang

专题命中医学影像：medical image(title,abstract)；CT(abstract)；pathology(abstract)；分类 cs.CV、eess.IV

2010.02715 2021-01-14 eess.IV cs.CV 86%

Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study

Razib Mustafiz, Khaled Mohsin

专题命中医学影像：CT(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 21 Pages, 6 Tables

Journal ref IJCSI-2020-17-6-12569

2012.15442 2021-01-01 eess.IV cs.CV 86%

Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray

Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang

专题命中医学影像：CT(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 19 pages, 5 figures, 3 tables

2011.07534 2020-11-17 eess.IV cs.CV 86%

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images

Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

2010.04065 2020-11-10 eess.IV cs.CV 86%

Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

Veronica Corona, Yehuda Dar, Guy Williams, Carola-Bibiane Schönlieb

专题命中医学影像：MRI(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

2009.10549 2020-11-05 eess.IV cs.CV 86%

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

2007.16152 2020-08-10 cs.CL cs.LG eess.IV 86%

Paying Per-label Attention for Multi-label Extraction from Radiology Reports

Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matúš Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil

专题命中医学影像：radiology(title,abstract)；medical image(abstract)；CT(abstract)；分类 cs.LG、eess.IV

Comments Accepted to MICCAI 2020 LABELS workshop

2006.12700 2020-06-24 eess.IV cs.LG physics.med-ph 86%

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network

Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang

专题命中医学影像：MRI(title,abstract)；CT(abstract)；diagnosis(abstract)；分类 cs.LG、eess.IV

Comments 10 pages, 11 figures

2006.04390 2020-06-09 eess.IV cs.CV 86%

Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging

Bora Baydar, Savas Ozkan, A. Emre Kavur, N. Sinem Gezer, M. Alper Selver, Gozde Bozdagi Akar

专题命中医学影像：biomedical(title)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

2006.03374 2020-06-08 eess.IV cs.CV 86%

Structurally aware bidirectional unpaired image to image translation between CT and MR

Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi

专题命中医学影像：CT(title,abstract)；medical image(abstract)；MRI(abstract)；分类 cs.CV、eess.IV

Comments 9 pages, 4 figures

2005.13338 2020-05-28 cs.CV eess.IV 86%

Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings

Lasse Hansen, Mattias P. Heinrich

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV、eess.IV

2002.03366 2020-02-20 eess.IV cs.CV 86%

MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

Quande Liu, Qi Dou, Lequan Yu, Pheng Ann Heng

专题命中医学影像：MRI(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments IEEE TMI, 2020

2002.02255 2020-02-07 eess.IV cs.CV 86%

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng Ann Heng

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV、eess.IV

Comments IEEE TMI

1910.09198 2020-02-05 eess.IV cs.CV 86%

Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net

He Tang, Xiaobing Pei, Shilong Huang, Xin Li, Chao Liu

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；radiology(abstract)；分类 cs.CV、eess.IV

1908.07765 2019-08-22 eess.IV cs.CV 86%

Dataset Growth in Medical Image Analysis Research

Yuval Landau, Nahum Kiryati

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV、eess.IV

1908.04346 2019-08-14 cs.CV eess.IV 86%

SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis

Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV、eess.IV

Comments Accepted to MICCAI 2019

1907.05598 2019-07-15 eess.IV cs.CV 86%

Coupled-Projection Residual Network for MRI Super-Resolution

Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao

专题命中医学影像：MRI(title,abstract)；pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Our source code will be publicly available at http://www.yongxu.org/lunwen.html

1907.03297 2019-07-09 eess.IV cs.CV 86%

Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis

Dong Nie, Lei Xiang, Qian Wang, Dinggang Shen

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV、eess.IV

1903.04711 2019-03-13 cs.CV cs.LG cs.NE 86%

Deep Learning for Automated Medical Image Analysis

Wentao Zhu

专题命中医学影像：medical image(title,abstract)；CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments PhD Thesis

1803.01229 2019-01-23 cs.CV cs.LG stat.ML 86%

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

专题命中医学影像：medical image(title,abstract)；CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments Preprint submitted to Neurocomputing

2606.15976 2026-06-16 cs.CV 新提交 86%

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

HadBalance: 一种即插即用的统一全局几何先验框架，用于可泛化的生物医学分割

Zhuangzhi Gao, Feixiang Zhou, He Zhao, Wenhan Chen, Ruiyu Luo, Xin Wang, Hongyi Qin, Zhongli Wu, Yanda Meng, Yitian Zhao, Alena Shantsila, Gregory Y. H. Lip, Eduard Shantsila, Yalin Zheng

机构 * Department of Eye and Vision Science, University of Liverpool（利物浦大学眼与视觉科学系）； Department of Primary Care and Mental Health, University of Liverpool（利物浦大学初级保健与精神健康系）； School of Psychological and Cognitive Sciences, Peking University（北京大学心理与认知科学学院）； Computer Vision Research Group, University of Amsterdam（阿姆斯特丹大学计算机视觉研究组）； Institute of Life Course & Medical Sciences, University of Liverpool（利物浦大学生命历程与医学科学研究所）； Bioengineering Program, Biomedical Sciences Division (BioMed), King Abdullah University of Science and Technology (KAUST)（阿卜杜拉国王科技大学生物医学科学部生物工程项目）； Ningbo Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences（中国科学院宁波慈溪生物医学工程研究所）； Liverpool Centre for Cardiovascular Science, University of Liverpool（利物浦大学利物浦心血管科学中心）

专题命中医学影像：biomedical(title,abstract)；medical image(abstract,comments)；diagnosis(abstract)；分类 cs.CV

AI总结针对生物医学图像分割中几何先验缺乏统一性和泛化性的问题，提出基于Hadwiger定理的全局近凸形状先验，并结合冲突感知目标平衡方法，实现跨器官和模态的即插即用分割。

Comments Provisionally accepted by the 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026). 11 pages, 3 figures, 2 tables

2605.10054 2026-05-12 cs.CV 86%

Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging

为提高生物医学影像的可解释性而引入解释感知学习

Zubair Faruqui, Rahul Dubey

机构 * Department of Computer Science, Missouri State University（密苏里州立大学计算机科学系）

专题命中医学影像：biomedical(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV

AI总结本文提出通过在训练中引入解释损失来提升模型对临床相关区域的关注，分析不同解释损失设计对预测性能和空间忠实度的影响，并引入新的评估指标以量化可解释性。

Comments Under review at IEEE Journal of Biomedical and Health Informatics (JBHI)

2509.23442 2025-09-30 eess.IV cs.AI cs.CV cs.LG eess.SP 86%

S$^3$F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network

Md. Saiful Bari Siddiqui, Mohammed Imamul Hassan Bhuiyan

机构 * Department of Computer Science and Engineering, BRAC University（计算机科学与工程系，布拉克大学）； Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology（电气与电子工程系，孟加拉国工程与技术大学）

专题命中医学影像：medical image(title,abstract)；pathology(abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Submitted to IEEE Journal of Biomedical and Health Informatics (JBHI). This preprint includes few additional details not present in the journal submission

2509.09064 2025-09-12 cs.CV 86%

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models

Qiuhui Chen, Xuancheng Yao, Huping Ye, Yi Hong

机构 * School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院）

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV

Comments Accepted by IEEE Journal of Biomedical and Health Informatics (JBHI)

2507.23272 2025-08-01 cs.CV cs.AI 86%

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2

Solha Kang, Eugene Kim, Joris Vankerschaver, Utku Ozbulak

机构 * Center for Biosystems and Biotech Data Science, Ghent University Global Campus, Incheon, Republic of Korea（生物系统与生物技术数据科学中心，格罗宁根大学全球校园，韩国Incheon）； Department of Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium（数学、计算机科学与统计学系，格罗宁根大学，比利时Ghent）； IDLab, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium（IDLab，电子与信息系统系，格罗宁根大学，比利时Ghent）

专题命中医学影像：MRI(title,abstract)；medical image(abstract,comments)；medical AI(abstract)；分类 cs.CV

Comments Accepted for publication in the 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (DeepBreath), 2025

2406.15699 2024-06-25 cs.CV 86%

Self-Supervised Alignment Learning for Medical Image Segmentation

Haofeng Li, Yiming Ouyang, Xiang Wan

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.CV

Comments Accepted by (ISBI 2024) 2024 IEEE International Symposium on Biomedical Imaging

2404.10965 2024-04-18 eess.IV 86%

IMIL: Interactive Medical Image Learning Framework

Adrit Rao, Andrea Fisher, Ken Chang, John Christopher Panagides, Katherine McNamara, Joon-Young Lee, Oliver Aalami

专题命中医学影像：medical image(title,abstract)；diagnosis(abstract)；radiology(abstract)；分类 eess.IV

Comments CVPR 2024 Workshop on Domain adaptation, Explainability and Fairness in AI for Medical Image Analysis (DEF-AI-MIA)

2011.05791 2021-11-11 stat.ML cs.LG 86%

Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images

Sambuddha Ghosal, Pratik Shah

专题命中医学影像：medical image(title,abstract)；CT(abstract)；biomedical(abstract)；分类 cs.LG

Journal ref Published in Cell Reports Methods 1, 100107, 2021. "A deep-learning toolkit for visualization and interpretation of segmented medical images"

1702.07841 2018-01-17 cs.CV 86%

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells

专题命中医学影像：MRI(title,abstract)；medical image(abstract,journal_ref)；diagnosis(abstract)；分类 cs.CV

Comments 8 pages, 3 figures

Journal ref Medical Image Computing and Computer-Assisted Intervention 2017, Vol 10435, 516-524

1. 医学影像 22694 篇

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Generative Adversarial U-Net for Domain-free Medical Image Augmentation

Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study

Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images

Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

Paying Per-label Attention for Multi-label Extraction from Radiology Reports

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network

Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging

Structurally aware bidirectional unpaired image to image translation between CT and MR

Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings

MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net

Dataset Growth in Medical Image Analysis Research

SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis

Coupled-Projection Residual Network for MRI Super-Resolution

Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis

Deep Learning for Automated Medical Image Analysis

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging

S$^3$F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2

Self-Supervised Alignment Learning for Medical Image Segmentation

IMIL: Interactive Medical Image Learning Framework

Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation