医学 AI - arXivDaily 专题

2509.02601 2025-10-20 eess.IV cs.CV 62%

Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies

Piotr Giedziun, Jan Sołtysik, Mateusz Górczany, Norbert Ropiak, Marcin Przymus, Piotr Krajewski, Jarosław Kwiecień, Artur Bartczak, Izabela Wasiak, Mateusz Maniewski

机构 * Wrocław University of Science and Technology（沃拉什大学科学与技术学院）； Cancer Center Sp. z o. o.（癌症中心有限公司）； Hospital for Lung Diseases - Rebirth（肺病医院-重生）； Maria Sklodowska-Curie National Research Institute of Oncology（玛丽·斯克洛多夫斯卡国家癌症研究院）； Pathology Department（病理部门）； th Military Research Hospital in Bydgoszcz（比多斯茨第10军科研医院）； Department of Tumor Pathology and Pathomorphology（肿瘤病理与组织病理学部门）； Oncology Centre Prof. Franciszek Łukaszczyk Memorial Hospital（弗雷德里克·卢卡斯茨基纪念医院肿瘤中心）； Doctoral School of Medical and Health Sciences, Nicolaus Copernicus University in Toruń（医学与健康科学博士学院，尼古拉斯·哥白尼大学图努恩分校）； Department of Obstetrics, Gynaecology and Oncology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun（妇产科与肿瘤学系，比多斯茨医学院，尼古拉斯·哥白尼大学图努恩分校）

专题命中医学数据与评测：pathology(abstract)；分类 cs.CV、eess.IV

2510.14997 2025-10-20 q-bio.OT cs.AI cs.LG 60%

Evaluation and Implementation of Machine Learning Algorithms to Predict Early Detection of Kidney and Heart Disease in Diabetic Patients

Syed Ibad Hasnain

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.LG、q-bio

Comments This thesis was completed under the supervision of Prof. Dr. Darakhshan Saleem. I am deeply grateful for her mentorship throughout my graduate studies

1. 医学数据与评测 2 篇

Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies

Evaluation and Implementation of Machine Learning Algorithms to Predict Early Detection of Kidney and Heart Disease in Diabetic Patients