医学 AI

Multiresolution wavelet analysis of heartbeat intervals discriminates healthy patients from those with cardiac pathology

Stefan Thurner, Markus C. Feurstein, Malvin C. Teich

专题命中 病理影像 ：pathology(title)；分类 q-bio

Comments 5 pages, 4 figures, to appear in Phys. Rev. Letters

Journal ref Pysical Review Letters, Volume 80, Number 7, 1544-1547 (1998).

Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays

利用专家输入实现稳健且可解释的AI辅助肺癌检测

Amy Rafferty, Rishi Ramaesh, Ajitha Rajan

机构 * School of Informatics, University of Edinburgh（信息学院，爱丁堡大学） ； NHS Lothian（洛锡安国家健康服务） 纠错

专题命中 病理影像 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

AI总结 本文研究了基于InceptionV3的肺癌检测模型的可解释性和鲁棒性，提出ClinicXAI方法，通过专家驱动的思路生成临床相关解释，并在对抗攻击下表现出更强的鲁棒性。

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

通过金字塔特征提取和UNI基础模型实现自动化病理报告生成

Ahmet Halici, Ece Tugba Cebeci, Musa Balci, Mustafa Cini, Serkan Sokmen

机构 * ViseurAI 纠错

专题命中 病理影像 ：pathology(abstract)；biomedical(abstract)；分类 cs.CV、eess.IV

AI总结 本文提出基于UNI基础模型和Transformer解码器的框架，通过金字塔特征提取和生物医学术语分词技术，实现全切片图像的自动化报告生成，并通过检索验证提升可靠性。

Comments 9 pages. Equal contribution: Ahmet Halici, Ece Tugba Cebeci, Musa Balci

Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions

从癌症组织病理学生成跨模态基因表达以提高多模态AI预测

Samiran Dey, Christopher R. S. Banerji, Partha Basuchowdhuri, Sanjoy K. Saha, Deepak Parashar, Tapabrata Chakraborti

机构 * School of Mathematical & Computational Sciences, Indian Association for the Cultivation of Science（数学与计算科学学院，印度科学培养协会） ； The Alan Turing Institute（艾伦·图灵研究所） ； Comprehensive Cancer Center, King’s College London（国王学院综合癌症中心） ； Department of Computer Science and Engineering, Jadavpur University（计算机科学与工程系，贾瓦德pur大学） ； MRC Biostatistics Unit, University of Cambridge（剑桥大学医学研究委员会生物统计学单位） ； Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University（生物统计学、生物信息学与生物数学系，杰斐逊大学） ； UCL Cancer Institute, Dept of Medical Physics & Biomedical Engineering, University College London（伦敦大学学院癌症研究所，医学物理与生物医学工程系） 纠错

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

AI总结 PathGen通过生成跨模态基因表达提升癌症分级和生存风险预测的多模态AI性能

A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images

在脑部MRI图像中快速且精确搜索矩形肿瘤区域的方法

Hidenori Takeshima, Shuki Maruyama

机构 * Software Technologies Group, MRI Systems Development Department, MRI Systems Division, Canon Medical Systems Corporation, Tochigi, Japan（Canon医疗系统公司软件技术组、MRI系统开发部、MRI系统事业部，Tochigi） 纠错

专题命中 病理影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

AI总结 本文提出了一种快速且精确的脑部MRI图像中矩形肿瘤区域搜索方法，通过改进的分割网络和快速搜索算法，提升了搜索效率和精度。

Real-time prediction of breast cancer sites using deformation-aware graph neural network

Kyunghyun Lee, Yong-Min Shin, Minwoo Shin, Jihun Kim, Sunghwan Lim, Won-Yong Shin, Kyungho Yoon

机构 * Yonsei University, School of Mathematics and Computing (Computational Science and Engineering)（延世大学数学与计算科学学院） ； Yonsei University, Division of Software（延世大学软件系） ； Yonsei University College of Medicine, Department of Radiation Oncology（延世大学医学院放射肿瘤科） ； Korea Institute of Science and Technology, Bionics Research Center（韩国科学技术院生物医学研究中心） ； Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH)（釜山科学技术大学人工智能研究生院） 纠错

专题命中 病理影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

RAA-MIL: A Novel Framework for Classification of Oral Cytology

Rupam Mukherjee, Rajkumar Daniel, Soujanya Hazra, Shirin Dasgupta, Subhamoy Mandal

机构 * 1 School of Medical Science \& Technology, IIT Kharagpur, India 2 Department of Electrical Engineering, IIT Kharagpur, India 3 Dr. B.C. Roy Multispeciality Medical Research Centre, IIT Kharagpur, India 纠错

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Under Review at IEEE ISBI 2026

A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories

Haojun Yu, Youcheng Li, Zihan Niu, Nan Zhang, Xuantong Gong, Huan Li, Zhiying Zou, Haifeng Qi, Zhenxiao Cao, Zijie Lan, Xingjian Yuan, Jiating He, Haokai Zhang, Shengtao Zhang, Zicheng Wang, Dong Wang, Ziwei Zhao, Congying Chen, Yong Wang, Wangyan Qin, Qingli Zhu, Liwei Wang

机构 * Peking University（北京大学） ； Peking Union Medical College Hospital（北京大学人民医院） ； Peking University Cancer Hospital & Institute（北京大学肿瘤医院） ； National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College（中国医学科学院国家癌症中心/国家癌症临床科研中心/癌症医院） ； Shenzhen Maternity & Child Health Care Hospital（深圳妇幼保健医院） ； Xi’an Jiaotong University（西安交通大学） ； Yizhun Medical AI Co., Ltd（亿众医疗人工智能有限公司） 纠错

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images

Yibin Wang, Abdur Rahman, W. Neil. Duggar, P. Russell Roberts, Toms V. Thomas, Linkan Bian, Haifeng Wang

机构 * Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, 39762, USA（工业与系统工程系，密苏里州立大学） ； Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, 39216, USA（放射肿瘤学系，密苏里大学医学中心） 纠错

专题命中 病理影像 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Journal ref Medical Physics, 51(3), 2007-2019

A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer disease

Zheyu Wen, Ali Ghafouri, George Biros

专题命中 病理影像 ：pathology(title)；分类 q-bio

Comments 10 pages, 6 figures

Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN

Mohsen Asghari Ilani, Yaser M. Banad

专题命中 病理影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

TAGS: 3D Tumor-Adaptive Guidance for SAM

Sirui Li, Linkai Peng, Zheyuan Zhang, Gorkem Durak, Ulas Bagci

机构 * Southern University of Science and Technology（南方科技大学） ； Northwestern University（西北大学） 纠错

专题命中 病理影像 ：medical image(abstract)；pathology(abstract)；分类 cs.CV、eess.IV

Comments Accepted by ICCV-APAH

impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction

Maria Boyko, Aleksandra Beliaeva, Dmitriy Kornilov, Alexander Bernstein, Maxim Sharaev

机构 * Center for Applied AI, Skolkovo Institute of Science and Technology, Moscow, Russian Federation（应用人工智能中心，斯克尔科夫科学与技术研究所，莫斯科，俄罗斯联邦） ； BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates（BIMAI实验室，生物医学导向人工智能实验室，肖贾联合大学，肖贾，阿拉伯联合酋长国） ； Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russian Federation（伊万诺夫俄罗斯科学院系统编程研究所，莫斯科，俄罗斯联邦） 纠错

专题命中 病理影像 ：medical image(abstract)；MRI(abstract)；分类 cs.CV、eess.IV

Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning

Melika Filvantorkaman, Mohsen Piri, Maral Filvan Torkaman, Ashkan Zabihi, Hamidreza Moradi

专题命中 病理影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 37 pages, 6 figures

Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification

Mobarak Abumohsen, Enrique Costa-Montenegro, Silvia García-Méndez, Amani Yousef Owda, Majdi Owda

专题命中 病理影像 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry

Yijie Zhang, Luzhe Huang, Nir Pillar, Yuzhu Li, Lukasz G. Migas, Raf Van de Plas, Jeffrey M. Spraggins, Aydogan Ozcan

专题命中 病理影像 ：pathology(abstract)；biomedical(abstract)；分类 cs.CV、cs.LG

Comments 33 Pages, 6 Figures

Journal ref Science Advances (2025)

GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning

S M Taslim Uddin Raju, Md. Milon Islam, Md Rezwanul Haque, Hamdi Altaheri, Fakhri Karray

机构 * Centre for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo（模式分析与机器智能中心，电气与计算机工程系，滑铁库大学） ； Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence（人工智能穆罕默德·本·扎耶德大学机器学习系） 纠错

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey

Guohui Cai, Ying Cai, Zeyu Zhang, Yuanzhouhan Cao, Lin Wu, Daji Ergu, Zhinbin Liao, Yang Zhao

机构 * College of Computer Science and Artificial Intelligence, Southwest Minzu University, Chengdu, 610225, China（计算机科学与人工智能学院，西南民族大学） ； The Australian National University, Canberra ACT 2601, Australia（澳大利亚国立大学） ； School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China（计算机科学与技术学校，北京交通大学） ； Hunan university of technology, Zhuzhou, 410072, China（湖南理工大学） ； University of Adelaide, Adelaide, South Australia 5005, Australia（阿德莱德大学） ； La Trobe University, Melbourne, Victoria 3086, Australia（拉筹伯大学） 纠错

专题命中 病理影像 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Accepted to Engineering Applications of Artificial Intelligence

Hybrid deep convolution model for lung cancer detection with transfer learning

Sugandha Saxena, S. N. Prasad, Ashwin M Polnaya, Shweta Agarwala

专题命中 病理影像 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments Authors realized mistake in the model. Also some data was misinterpreted

GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology

Raktim Kumar Mondol, Ewan K. A. Millar, Peter H. Graham, Lois Browne, Arcot Sowmya, Erik Meijering

机构 * School of Computer Science and Engineering（计算机科学与工程学院） ； University of New South Wales（新南威尔士大学） ； St. George and Sutherland Clinical School（圣乔治与萨瑟兰临床学院） ； Department of Anatomical Pathology（解剖病理学部） ； NSW Health Pathology（新南威尔士州卫生病理学） ； Cancer Care Centre（癌症护理中心） 纠错

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 25 Pages, 10 Figures, 1 Tables

Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis

Minjoo Lim, Bogyeong Kang, Tae-Eui Kam

专题命中 病理影像 ：MRI(abstract)；pathology(abstract)；分类 cs.CV、eess.IV

Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification

Ken Enda, Yoshitaka Oda, Zen-ichi Tanei, Kenichi Satoh, Hiroaki Motegi, Terasaka Shunsuke, Shigeru Yamaguchi, Takahiro Ogawa, Wang Lei, Masumi Tsuda, Shinya Tanaka

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 25 pages, 7 figures

Development and prospective validation of a prostate cancer detection, grading, and workflow optimization system at an academic medical center

Ramin Nateghi, Ruoji Zhou, Madeline Saft, Marina Schnauss, Clayton Neill, Ridwan Alam, Nicole Handa, Mitchell Huang, Eric V Li, Jeffery A Goldstein, Edward M Schaeffer, Menatalla Nadim, Fattaneh Pourakpour, Bogdan Isaila, Christopher Felicelli, Vikas Mehta, Behtash G Nezami, Ashley Ross, Ximing Yang, Lee AD Cooper

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Interactive Tumor Progression Modeling via Sketch-Based Image Editing

Gexin Huang, Ruinan Jin, Yucheng Tang, Can Zhao, Tatsuya Harada, Xiaoxiao Li, Gu Lin

专题命中 病理影像 ：medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 9 pages, 4 figures

"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images

Marina D'Amato, Jeroen van der Laak, Francesco Ciompi

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach

Priyam Ganguly, Akhilbaran Ghosh

专题命中 病理影像 ：medical image(abstract)；MRI(abstract)；分类 cs.CV、eess.IV

Comments Accepted in FMLDS 2024

Journal ref 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS)

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition

Linshan Wu, Jiaxin Zhuang, Yanning Zhou, Sunan He, Jiabo Ma, Luyang Luo, Xi Wang, Xuefeng Ni, Xiaoling Zhong, Mingxiang Wu, Yinghua Zhao, Xiaohui Duan, Varut Vardhanabhuti, Pranav Rajpurkar, Hao Chen

专题命中 病理影像 ：CT(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Predictability of temporal network dynamics in normal ageing and brain pathology

Annalisa Caligiuri, David Papo, Görsev Yener, Bahar Güntekin, Tobias Galla, Lucas Lacasa, Massimiliano Zanin

专题命中 病理影像 ：pathology(title)；分类 q-bio

Comments 24 pages

On undesired emergent behaviors in compound prostate cancer detection systems

Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez

专题命中 病理影像 ：MRI(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Accepted in MICCAI 2025, CapTiON

Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification

Vanshali Sharma, Debesh Jha, M. K. Bhuyan, Pradip K. Das, Ulas Bagci

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV