医学 AI

MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figures under Class and Hardness Imbalances

Sujatha Kotte, Vangala Govindakrishnan Saipradeep, Vidushi Walia, Dhandapani Nandagopal, Thomas Joseph, Naveen Sivadasan, Bhagat Singh Lali

机构 * TCS Research, Tata Consultancy Services (TCS) Ltd（Tata Consultancy Services（TCS）有限公司研究部） ； Department of Pathology, Tata Medical Center（病理学部） 纠错

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

Comments MIDOG 2025 Track 2 submission

Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis

Wenhao Tang, Sheng Huang, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu

机构 * Hong Kong University of Science and Technology（香港科学与技术大学） ； Hefei University of Technology（合肥工业大学） ； Nanjing University of Posts and Telecommunications（南京邮电大学） 纠错

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

Comments 27 pages, 8 figures

Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images

Yuedi Zhang, Zhixiang Xia, Guosheng Yin, Bin Liu

机构 * Department of Electrical and Computer Engineering, Georgia Institute of Technology（电子与计算机工程系，佐治亚理工学院） 纠错

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

Comments 12 pages,5 figures

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression

Aghiles Kebaili, Romain Modzelewski, Jérôme Lapuyade-Lahorgue, Maxime Fontanilles, Sébastien Thureau, Su Ruan

机构 * AIMS Lab, Quantif, University of Rouen-Normandy（AIMS实验室、Quantif、鲁昂-诺曼底大学） ； LITIS Lab UR 4108, University of Rouen-Normandy（LITIS实验室UR 4108、鲁昂-诺曼底大学） 纠错

专题命中 病理影像 ：MRI(abstract)；分类 cs.CV

How Easterners and Westerners perceive ADHD differently

Xing-Chan Lin

专题命中 病理影像 ：pathology(abstract)；分类 q-bio

Comments 7 pages, 1 figure