Skin Cancer Classification
14 papers with code • 1 benchmarks • 1 datasets
ISIC 2020 Challenge Dataset
Latest papers
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
Several DL architectures have been proposed for classification, segmentation, and detection tasks in medical imaging and computational pathology.
Skin Lesion Synthesis with Generative Adversarial Networks
alceubissoto/gan-skin-lesion
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Skin cancer is by far the most common type of cancer.
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).
Knowledge Transfer for Melanoma Screening with Deep Learning
learningtitans/isbi2017-part3
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Knowledge transfer impacts the performance of deep learning -- the state of the art for image classification tasks, including automated melanoma screening.
