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...
| 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: | |
| Online Access: | https://www.mdpi.com/2306-5354/12/9/1001 |
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