Skin Cancer Detection Using Transfer Learning and Deep Attention Mechanisms
<b>Background/Objectives:</b> Early and accurate diagnosis of skin cancer improves survival rates; however, dermatologists often struggle with lesion detection due to similar pigmentation. Deep learning and transfer learning models have shown promise in diagnosing skin cancers through im...
Saved in:
Main Authors: | Areej Alotaibi, Duaa AlSaeed |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/15/1/99 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Novel transfer learning approach for hand drawn mathematical geometric shapes classification
by: Aneeza Alam, et al.
Published: (2025-01-01) -
RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis
by: S. M. Nuruzzaman Nobel, et al.
Published: (2024-01-01) -
Feature Fusion Model Using Transfer Learning and Bidirectional Attention Mechanism for Plant Pipeline Leak Detection
by: Yujin Han, et al.
Published: (2025-01-01) -
FD-YOLO: A YOLO Network Optimized for Fall Detection
by: Hoseong Hwang, et al.
Published: (2025-01-01) -
Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture
by: Bekir Eray Katı, et al.
Published: (2025-01-01)