Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification

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...

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Bibliographic Details
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:
skin cancer
deep learning
classification
densenet121
resnet152
vgg19
transfer learning
Online Access:https://aip.vse.cz/artkey/aip-202301-0003_deep-residual-learning-image-recognition-model-for-skin-cancer-disease-detection-and-classification.php

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https://aip.vse.cz/artkey/aip-202301-0003_deep-residual-learning-image-recognition-model-for-skin-cancer-disease-detection-and-classification.php

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