Two-Stage Input-Space Image Augmentation and Interpretable Technique for Accurate and Explainable Skin Cancer Diagnosis

Two-Stage Input-Space Image Augmentation and Interpretable Technique for Accurate and Explainable Skin Cancer Diagnosis

This research paper presents a deep-learning approach to early detection of skin cancer using image augmentation techniques. We introduce a two-stage image augmentation process utilizing geometric augmentation and a generative adversarial network (GAN) to differentiate skin cancer categories. The pu...

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Bibliographic Details
Main Authors: Catur Supriyanto, Abu Salam, Junta Zeniarja, Adi Wijaya
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Computation
Subjects:
deep learning
skin cancer
image augmentation
GAN
geometric augmentation
image classification
Online Access:https://www.mdpi.com/2079-3197/11/12/246

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