Enhancing Melanoma Diagnosis in Histopathology with Deep Learning and Synthetic Data Augmentation

Accurate diagnosis of melanoma using hematoxylin and eosin (H&E)-stained histological images is often challenged by the scarcity and imbalance of biomedical datasets, limiting the performance of deep learning models. This study investigates the impact of synthetic image generation, via generativ...

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Bibliographic Details

Published in:	Bioengineering
Main Authors:	Alex Rodriguez Alonso, Ana Sanchez Diez, Goikoane Cancho Galán, Rafael Ibarrola Altuna, Gonzalo Irigoyen Miró, Cristina Penas Lago, Mª Dolores Boyano López, Rosa Izu Belloso
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	melanoma digital histopathology synthetic images GAN automatic classification
Online Access:	https://www.mdpi.com/2306-5354/12/9/1001