arXiv:1911.07817
Skin Lesion Classification Using Deep Neural Network
원문 초록
This paper reports the methods and techniques we have developed for classify dermoscopic images (task 1) of the ISIC 2019 challenge dataset for skin lesion classification, our approach aims to use ensemble deep neural network with some powerful techniques to deal with unbalance data sets as its the main problem for this challenge in a move to increase the performance of CNNs model.
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Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation
Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers
LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification
토론
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