Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review

Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review

Abstract Background Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretation. Recently, machine learning and deep le...

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Bibliographic Details
Main Authors: Hoda Naseri, Ali A. Safaei
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
Subjects:
Melanoma
Dermoscopy
Machine learning
Deep learning
Convolutional neural networks (CNN)
Diagnosis
Online Access:https://doi.org/10.1186/s12885-024-13423-y
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https://doi.org/10.1186/s12885-024-13423-y

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