科学与医疗

医学 AI

医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。

2026-01-09 至 2026-01-09 共收录 3 篇信号源：cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 医学数据与评测 3 篇

2601.02564 2026-01-09 eess.IV cs.CV cs.IR 81%

Comparative Analysis of Binarization Methods For Medical Image Hashing On Odir Dataset

对医疗图像哈希的二值化方法的比较分析：ODIR数据集

Nedim Muzoglu

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

AI总结本文提出SDH方法在ODIR数据集上实现了优于其他二值化方法的医疗图像哈希性能，以更少的位数达到接近最先进的检索准确率。

Comments After publication of the conference version, we identified fundamental methodological and evaluation issues that affect the validity of the reported results. These issues are intrinsic to the current work and cannot be addressed through a simple revision. Therefore, we request full withdrawal of this submission rather than replacement

2601.04587 2026-01-09 cs.LG cs.AI 79%

FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems

FedKDX: 联邦学习中的负知识蒸馏用于增强医疗AI系统

Quang-Tu Pham, Hoang-Dieu Vu, Dinh-Dat Pham, Hieu H. Pham

机构 * Faculty of EEE, Phenikaa School of Engineering（电子工程系，Phenikaa工程学院）； Phenikaa University（Phenikaa大学）； VinUni-Illinois Smart Health Center（VinUniversity-伊利诺伊智能健康中心）； VinUniversity（Vin大学）； College of Engineering & Computer Science（工程与计算机科学学院）

专题命中医学数据与评测：healthcare AI(title,abstract)；分类 cs.LG

AI总结 FedKDX通过负知识蒸馏提升医疗AI性能，实现隐私保护与通信成本降低的平衡。

2506.06099 2026-01-09 eess.IV cs.CV 76%

DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

DermaCon-IN：一个包含印度皮肤疾病多概念标注的皮肤病图像数据集，用于临床AI研究

Shanawaj S Madarkar, Mahajabeen Madarkar, Madhumitha Venkatesh, Deepanshu Bansal, Teli Prakash, Konda Reddy Mopuri, Vinaykumar MV, KVL Sathwika, Adarsh Kasturi, Gandla Dilip Raj, PVN Supranitha, Harsh Udai

机构 * Department of Artificial Intelligence, Indian Institute of Technology Hyderabad, India（人工智能系，印度理工学院海得拉巴学院，印度）； Indian Navy（印度海军）； Department of Dermatology, S R Patil Medical College, India（皮肤科系，S R Patil医学院，印度）； Department of Dermatology, S Nijalingappa Medical College, India（皮肤科系，S Nijalingappa医学院，印度）； Department of Dermatology, Sri Chamundeshwari Medical College, Hospital & Research, India（皮肤科系，Sri Chamundeshwari医学院，医院及研究，印度）； Indian Institute of Technology Hyderabad, India（印度理工学院海得拉巴学院，印度）

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

AI总结 DermaCon-IN是一个包含印度皮肤疾病多概念标注的皮肤病图像数据集，用于临床AI研究，旨在提供可扩展且具有代表性的基础，推动皮肤病AI的发展。

Comments Accepted at NeurIPS 2025 (D&B Track)