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20202024
most citedFollow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis

94 citations · 99 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CV2024

Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Yan Kong, Sheng Wang, Jiangdong Cai +5

Accurate detection of vulvovaginal candidiasis is critical for women's health, yet its sparse distribution and visually ambiguous characteristics pose significant challenges for ac…

cs.CV2024

MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction

Yitao Zhu, Sheng Wang, Mengjie Xu +5

Multiple cameras can provide comprehensive multi-view video coverage of a person. Fusing this multi-view data is crucial for tasks like behavioral analysis, although it traditional…

cs.CV2024

Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening

Zhenrong Shen, Manman Fei, Xin Wang +4

Automatic thin-prep cytologic test (TCT) screening can assist pathologists in finding cervical abnormality towards accurate and efficient cervical cancer diagnosis. Current automat…

cs.CV2023

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

Zihao Zhao, Sheng Wang, Qian Wang +1

Obtaining large-scale radiology reports can be difficult for medical images due to various reasons, limiting the effectiveness of contrastive pre-training in the medical image doma…

cs.CV2023

CLIP in Medical Imaging: A Survey

Zihao Zhao, Yuxiao Liu, Han Wu +8

Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising resu…

cs.CV2023

MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis

Yitao Zhu, Zhenrong Shen, Zihao Zhao +5

The common practice in developing computer-aided diagnosis (CAD) models based on transformer architectures usually involves fine-tuning from ImageNet pre-trained weights. However,…