医学 AI

Development, Evaluation, and Deployment of a Multi-Agent System for Thoracic Tumor Board

胸腔肿瘤板的多智能体系统开发、评估与部署

Tim Ellis-Caleo, Timothy Keyes, Nerissa Ambers, Faraah Bekheet, Wen-wai Yim, Nikesh Kotecha, Nigam H. Shah, Joel Neal

机构 * Division of Oncology, Department of Medicine, Stanford University School of Medicine（斯坦福大学医学院肿瘤学部） ； Technology and Digital Solutions, Stanford Health Care（斯坦福健康医疗技术与数字解决方案部） ； Department of Biomedical Data Science, Stanford University School of Medicine（斯坦福大学医学院生物医学数据科学部） ； Nursing Informatics, Stanford Health Care（斯坦福健康护理信息学部） ； Department of Medicine, Stanford University School of Medicine（斯坦福大学医学院医学部） ； Microsoft AI, Redmond, WA（微软人工智能，西雅图） ； Stanford Cancer Institute, Palo Alto, CA（斯坦福癌症研究所） 纠错

专题命中 病理影像 ：pathology(abstract)；radiology(abstract)

AI总结 本文提出了一种多智能体系统，用于生成胸腔肿瘤病例摘要，以提高讨论效率和准确性，并验证了LLM在事实评分中的应用。

Comments 64 pages, 14 figures

UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC

UNIStainNet：基于基础模型的虚拟染色：H&E到IHC

Jillur Rahman Saurav, Thuong Le Hoai Pham, Pritam Mukherjee, Paul Yi, Brent A. Orr, Jacob M. Luber

机构 * University of Texas at Arlington（德克萨斯理工大学） ； St. Jude Children’s Research Hospital（圣 Jude 儿童研究医院） 纠错

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

AI总结 UNIStainNet通过结合基础模型生成的密集空间标记，提升H&E到IHC的虚拟染色效果，实现多标记同时处理，并在MIST和BCI数据集上取得最佳分布度指标。

Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning

通过深度学习从常规组织病理学切片推断胰腺癌的临床相关分子亚型

Abdul Rehman Akbar, Alejandro Levya, Ashwini Esnakula, Elshad Hasanov, Anne Noonan, Lingbin Meng, Susan Tsai, Vaibhav Sahai, Midhun Malla, Sarbajit Mukherjee, Upender Manne, Anil Parwani, Wei Chen, Ashish Manne, Muhammad Khalid Khan Niazi

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

AI总结 PanSubNet通过深度学习从常规H&E染色切片预测胰腺癌分子亚型，提供可解释的临床应用工具。

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

具有领域适应MAE的临床注射变换器用于系统性红斑狼疮肾炎的预后预测

Yuewen Huang, Zhitao Ye, Guangnan Feng, Fudan Zheng, Xia Gao, Yutong Lu

机构 * Sun Yat-sen University Department of Nephrology, Guangzhou Women ； Children's Medical Center, Guangzhou Medical University, Guangzhou, China 纠错

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

AI总结 本研究提出了一种多模态计算病理学框架，利用临床数据和常规染色活检，通过临床注射变换器和领域适应MAE实现儿童系统性红斑狼疮肾炎预后预测的高准确率。

Deep Learning for Dermatology: An Innovative Framework for Approaching Precise Skin Cancer Detection

深度学习在皮肤科中的应用：一种用于精确皮肤癌检测的创新框架

Mohammad Tahmid Noor, B. M. Shahria Alam, Tasmiah Rahman Orpa, Shaila Afroz Anika, Mahjabin Tasnim Samiha, Fahad Ahammed

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

AI总结 本文提出了一种创新的深度学习框架，用于精确检测皮肤癌，通过评估VGG16和DenseNet201模型的准确性与效率，以提高皮肤科诊断的早期检测和工作效率。

Comments 6 pages, 9 figures, this is the author's accepted manuscript of a paper accepted for publication in the Proceedings of the 16th International IEEE Conference on Computing, Communication and Networking Technologies (ICCCNT 2025). The final published version will be available via IEEE Xplore

STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology

Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis Langlotz, Andrew Y. Ng, Jeanne Shen

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)

Comments 37 pages, 18 figures, Accepted in NeurIPS 2025

Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning

Richa Rawat, Faisal Ahmed

机构 * Department of Mathematics, University of Texas at Arlington（德克萨斯大学阿灵顿分校数学系） ； Department of Data Science and Mathematics, Embry-Riddle Aeronautical University（埃姆伯里-瑞德航空大学数据科学与数学系） 纠错

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

Comments 10 pages, 3 figures

Block-Fused Attention-Driven Adaptively-Pooled ResNet Model for Improved Cervical Cancer Classification

Saurabh Saini, Kapil Ahuja, Akshat S. Chauhan

机构 * Math of Data Science & Simulation (MODSS) Lab, Computer Science & Engineering（数据科学与模拟（MODSS）实验室，计算机科学与工程） ； Indian Institute of Technology Indore（印度理工学院印度尔分校） ； Computer Science & Engineering（计算机科学与工程） ； Indian Institute of Information Technology Nagpur（印度信息学院纳格浦分校） 纠错

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

Comments 32 Pages, 12 Tables, 14 Figures

Needle Biopsy And Fiber-Optic Compatible Robotic Insertion Platform

Fanxin Wang, Yikun Cheng, Chuyuan Tao, Rohit Bhargava, Thenkurussi Kesavadas

机构 * Department of Mechatronics and Robotics（机械电子与机器人系） ； Department of Mechanical Science and Engineering（机械科学与工程系） ； Beckman Institute for Advanced Science and Technology（先进科学与技术研究所） ； Division of Research and Economic Development（研究与经济开发部门） 纠错

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)

Comments Presented in EMBC 2025

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images

Michael John Fanous, Christopher Michael Seybold, Hanlong Chen, Nir Pillar, Aydogan Ozcan

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

Comments 22 Pages, 5 Figures, 1 Table

Journal ref npj Digital Medicine (2025)

Learned Single-Pixel Fluorescence Microscopy

Serban C. Tudosie, Valerio Gandolfi, Shivaprasad Varakkoth, Andrea Farina, Cosimo D'Andrea, Simon Arridge

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

Comments 10 pages, 6 figures, 1 table

Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off

Abdullah Al Mamun, Pollob Chandra Ray, Md Rahat Ul Nasib, Akash Das, Jia Uddin, Md Nurul Absur

机构 * Dhaka University of Engineering & Technology（达卡工程与技术大学） ； Samsung Austin Research Center（三星奥斯汀研究中心） ； Federation University Australia（联邦大学澳大利亚分校） ； Woosong University（沃斯通大学） ； Graduate Center, CUNY（纽约大学研究生中心） 纠错

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

Comments 6 pages, & 7 Images

Supervised Integrative Biclustering with applications to Alzheimer's Disease

Kaifeng Yang, Thierry Chekouo, Sandra E. Safo

专题命中 病理影像 ：pathology(abstract)；biomedical(abstract)

Comments The main manuscript contains 16 pages, including 3 tables and 3 figures. The supplementary materials also contains 16 pages with 6 tables and 5 figures

Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection

Yassine Habchi, Hamza Kheddar, Yassine Himeur, Adel Belouchrani, Erchin Serpedin, Fouad Khelifi, Muhammad E. H. Chowdhury

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

Journal ref Image and Vision Computing, Elsevier, 2025

Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images

Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose

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

Comments Accepted 4-page paper at IEEE ISBI 2025. 3 figures, 3 tables

CancerLLM: A Large Language Model in Cancer Domain

Mingchen Li, Jiatan Huang, Jeremy Yeung, Anne Blaes, Steven Johnson, Hongfang Liu, Hua Xu, Rui Zhang

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)

Comments new version, add the RAG version of cancerLLM

Advancing Tumor Budding Detection with Fourier Ptychography Microscopy

Yiyan Su, Ruiqing Sun, Yajing Wang, Yanfeng xi, Shaohui Zhang

专题命中 病理影像 ：pathology(abstract)；diagnosis(abstract)

A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection

Aamir Mehmood, Yue Hu, Saddam Hussain Khan

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

Comments 12 pages, 10 Figures, 2 Tables. arXiv admin note: substantial text overlap with arXiv:2405.12986

Snuffy: Efficient Whole Slide Image Classifier

Hossein Jafarinia, Alireza Alipanah, Danial Hamdi, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban

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

Comments Accepted for ECCV 2024

Requirements for Quality Assurance of AI Models for Early Detection of Lung Cancer

Horst K. Hahn, Matthias S. May, Volker Dicken, Michael Walz, Rainer Eßeling, Bianca Lassen-Schmidt, Robert Rischen, Jens Vogel-Claussen, Konstantin Nikolaou, Jörg Barkhausen

专题命中 病理影像 ：CT(abstract)；diagnosis(abstract)

Comments 12 pages incl. 2 figures, 2 charts, and references, summary in English (page 2), article in German (original title: Anforderungen an die Qualitätssicherung von KI-Modellen für die Lungenkrebs-Früherkennung)

Lung Cancer detection using Deep Learning

Aryan Chaudhari, Ankush Singh, Sanchi Gajbhiye, Pratham Agrawal

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

GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning

Teja Krishna Cherukuri, Nagur Shareef Shaik, Jyostna Devi Bodapati, Dong Hye Ye

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

Comments This paper has been accepted for presentation at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)

Diagnosising Helicobacter pylori using AutoEncoders and Limited Annotations through Anomalous Staining Patterns in IHC Whole Slide Images

Pau Cano, Eva Musulen, Debora Gil

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

Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM

Suxing Liu

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

Comments 13 pages, 7 figures,11 tables

A novel imaging setup for hybrid radiotherapy tailored PET/MR in patients with head and neck cancer

R. M. Winter, O. Engelsen, O. J. Bratting, N. Brekke, J. Sæterstøl, O. Sæther, K. R. Redalen

专题命中 病理影像 ：CT(abstract)；radiology(abstract)

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides

Maren Høibø, André Pedersen, Vibeke Grotnes Dale, Sissel Marie Berget, Borgny Ytterhus, Cecilia Lindskog, Elisabeth Wik, Lars A. Akslen, Ingerid Reinertsen, Erik Smistad, Marit Valla

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

Comments 19 pages, 6 figures. Submitted to a scientific journal

Statistical Analysis of Quantitative Cancer Imaging Data

Shariq Mohammed, Maria Masotti, Nathaniel Osher, Satwik Acharyya, Veerabhadran Baladandayuthapani

专题命中 病理影像 ：pathology(abstract)；radiology(abstract)

Classifying Cancer Stage with Open-Source Clinical Large Language Models

Chia-Hsuan Chang, Mary M. Lucas, Grace Lu-Yao, Christopher C. Yang

专题命中 病理影像 ：pathology(abstract)；radiology(abstract)

Comments accepted in the IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024)

Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling

Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Musa Aydin, Aras Firat Unal, Aditya Gomatam, Zhen Guo, Darrow Morgan Angus, Goren Kolodney, Karine Atlan, Tal Keidar Haran, Nir Pillar, Aydogan Ozcan

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

Comments 21 Pages, 7 Figures

Journal ref BME Frontiers (2024)

CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment

Sajid Javed, Arif Mahmood, Iyyakutti Iyappan Ganapathi, Fayaz Ali Dharejo, Naoufel Werghi, Mohammed Bennamoun

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