[HTML][HTML] YoTransViT: A transformer and CNN method for predicting and classifying skin diseases using segmentation techniques
Skin disease cases are becoming more common, and diagnosing these diseases in a clinic
is never an easy task. A deep learning (DL) based model was previously used to diagnose …
is never an easy task. A deep learning (DL) based model was previously used to diagnose …
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency
Skin cancer is a major concern to public health, accounting for one-third of the reported
cancers. If not detected early, the cancer has the potential for severe consequences …
cancers. If not detected early, the cancer has the potential for severe consequences …
SkinLiTE: Lightweight Supervised Contrastive Learning Model for Enhanced Skin Lesion Detection and Disease Typification in Dermoscopic Images
SM Alzahrani - 2024 - preprints.org
This study introduces SkinLiTE, a lightweight supervised contrastive learning model, tailored
to enhance the detection and typification of skin lesions in dermoscopic images. The core of …
to enhance the detection and typification of skin lesions in dermoscopic images. The core of …
[PDF][PDF] Informatics in Medicine Unlocked
Skin disease cases are becoming more common, and diagnosing these diseases in a clinic
is never an easy task. A deep learning (DL) based model was previously used to diagnose …
is never an easy task. A deep learning (DL) based model was previously used to diagnose …
[PDF][PDF] Instant Skin Disease Prediction Bot
AS Teja, KDKSK Tipu, DDM Razvi - ijmrset.com
Skin disease detection using deep learning is a cutting-edge approach aimed at automating
the process of identifying and diagnosing various skin conditions. These networks learn …
the process of identifying and diagnosing various skin conditions. These networks learn …