Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification
Skin cancer is undoubtedly one of the deadliest diseases, and early detection of this disease can save lives. The usefulness and capabilities of deep learning in detecting and categorizing skin cancer based on images have been investigated in many studies. However, due to the variety of skin cancer...
Saved in:
| Main Authors: | Jamal Mustafa Al-Tuwaijari, Naeem Th. Yousir, Nafea Ali Majeed Alhammad, Salama Mostafa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Prague University of Economics and Business
2023-04-01
|
| Series: | Acta Informatica Pragensia |
| Subjects: | |
| Online Access: | https://aip.vse.cz/artkey/aip-202301-0003_deep-residual-learning-image-recognition-model-for-skin-cancer-disease-detection-and-classification.php |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning based stacking ensembles for tropical sorghum classification
by: Muhammad Aqil, et al.
Published: (2025-06-01) -
Advanced Deep Learning Models for Corn Leaf Disease Classification: A Field Study in Bangladesh
by: Sachi Nandan Mohanty, et al.
Published: (2023-12-01) -
CNN-ViT: A multi-feature learning based approach for driver drowsiness detection
by: Madduri Venkateswarlu, et al.
Published: (2025-09-01) -
Multilabel Classification of Radiology Image Concepts Using Deep Learning
by: Vito Santamato, et al.
Published: (2025-05-01) -
Advanced Diagnosis of Cardiac and Respiratory Diseases from Chest X-Ray Imagery Using Deep Learning Ensembles
by: Hemal Nakrani, et al.
Published: (2025-04-01)