An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System

Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces challenges such as long waiting times and subjective interpretations. Deep learning techniques have been devel...

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Veröffentlicht in:	IEEE access Jg. 11; S. 41003 - 41018
Hauptverfasser:	Mridha, Krishna, Uddin, Md. Mezbah, Shin, Jungpil, Khadka, Susan, Mridha, M. F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Biological system modeling Cancer Classification CNN Decision making Deep learning Diagnosis explainable AI Grad-CAM Health care Health services Lesions Machine learning Optimization Prediction models Predictive models Skin Skin cancer
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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