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Data Augmentation for Skin Lesion Analysis
• fabioperez/skin-data-augmentation
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In this work, we investigate the impact of 13 data augmentation scenarios for melanoma classification trained on three CNNs (Inception-v4, ResNet, and DenseNet).
DATA AUGMENTATION SKIN CANCER CLASSIFICATION SKIN LESION CLASSIFICATION
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
The first problem is the effective use of high-resolution images with pretrained standard architectures for image classification.
WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks
• YeongChanLee/WonDerM_ISIC2018_SkinLesionAnalysis
As skin cancer is one of the most frequent cancers globally, accurate, non-invasive dermoscopy-based diagnosis becomes essential and promising.