most citedComparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2025

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg

Jingchen Zou, Jianqiang Li, Gabriel Jimenez +5

The performance of medical image segmentation models is usually evaluated using metrics like the Dice score and Hausdorff distance, which compare predicted masks to ground truth an…

eess.IV2024★ 2 cited

Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification

Yuning Huang, Jingchen Zou, Lanxi Meng +7

Medical image analysis frequently encounters data scarcity challenges. Transfer learning has been effective in addressing this issue while conserving computational resources. The r…