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. 2023 Feb 13;15(4):1183. doi: 10.3390/cancers15041183

Table 1.

Comparison of the current review with the previous reviews in AI-powered skin cancer diagnosis.

Reference Year One-Phrase Summary Machine Learning
Models in Skin Cancer Diagnosis
Deep Learning in Skin Cancer Diagnosis Open
Challenges in Skin Cancer Diagnosis
Future
Directions for Skin Cancer Diagnosis
Our
review
- A comprehensive survey on machine learning and deep learning techniques used to diagnose skin cancer H H H H
[11] 2022 A review on cancer diagnosis using Artificial Intelligence H H M N
[12] 2022 A research article on the recent advancements in cancer diagnosis using machine learning and deep learning techniques H H L M
[6] 2021 A review of machine learning and its applications in the field of skin cancer H L M H
[7] 2021 A minireview on deep learning and its use in cancer diagnosis and prognosis prediction N H M H
[10] 2021 A review on skin disease diagnosis with deep learning N H N H
[14] 2021 A review on skin cancer classification via convolution neural networks N M M N
[15] 2021 A survey on deep learning techniques for skin lesion analysis and melanoma cancer detection N H M N
[9] 2020 A review article on Artificial-Intelligence-based methods for diagnosis of skin cancer M M H N
[13] 2020 A review on malignant melanoma classification using deep learning N H M H
[16] 2020 A survey in cancer detection using machine learning H N H H
[8] 2019 A bibliographic review on cancer diagnosis using deep learning N H M N

Depth of discussion: L—low, M—moderate, H—high, N—not discussed.