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Greatest papers with code
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.
IMAGE CLASSIFICATION SKIN CANCER CLASSIFICATION TRANSFER LEARNING
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 Synthesis with Generative Adversarial Networks
• alceubissoto/gan-skin-lesion
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Skin cancer is by far the most common type of cancer.
Deep neural network or dermatologist?
• KyleYoung1997/DNNorDermatologist
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We show that despite high accuracy, the models will occasionally assign importance to features that are not relevant to the diagnostic task.
Melanoma Detection using Adversarial Training and Deep Transfer Learning
Journal of Physics in Medicine and Biology 2020
• hasibzunair/adversarial-lesions
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In the first stage, we leverage the inter-class variation of the data distribution for the task of conditional image synthesis by learning the inter-class mapping and synthesizing under-represented class samples from the over-represented ones using unpaired image-to-image translation.
CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION MEDICAL IMAGE GENERATION SKIN CANCER CLASSIFICATION SKIN LESION CLASSIFICATION TRANSFER LEARNING