anomaly detection 1feature refinement 1medical image analysis 1multi-scale features 1orientation sensitivity 1teacher-student learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
ReMoE: Report-Guided Mixture-of-Experts for Multimodal OCT/OCTA Anomaly Detection
Zihan Nie, Qincheng Qiao, Muhao Xu +4
Multimodal medical anomaly detection identifies samples deviating from normal patterns, where scarce abnormal cases make normality modeling from normal data practical. In retinal O…
cs.CV2026
Can Multimodal Large Language Models Understand OCT?
Baochen Fu, Wenzhi Deng, Baihao Jin +5
Optical coherence tomography (OCT) imaging is essential for the diagnosis and treatment of retinal diseases. Although multimodal large language models (MLLMs) have demonstrated con…
cs.CV2026
CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection
Zihan Nie, Muhao Xu, Wei Feng +7
The paper introduces CFR-Net, a network that refines teacher and student features to improve detection and localization of anomalies in medical images using only normal training da…