Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN
Introduction
Skin cancer remains a significant global health concern, with
Van Dong Tran
BiasPruner: Debiased Continual Learning for Medical Image Classification
Continual Learning (CL) is pivotal for enabling neural networks to
MAXVIT-UNET: MULTI-AXIS ATTENTION FOR MEDICAL IMAGE SEGMENTATION
Since their emergence, Convolutional Neural Networks (CNNs) have significantly advanced
SkinGAN Project using LaMa-Fourier
Goal
The goal of this project is to help protect