Cascade knowledge diffusion network for skin lesion diagnosis and segmentation

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Medical image classification using synergic deep learning

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Attention Residual Learning for Skin Lesion Classification

(2019) Jianpeng Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

(2019) Anna Kuzina et al.   Frontiers in Neuroscience

Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting

(2019) Nils Gessert et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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Accurate segmentation and registration of skin lesion images to evaluate lesion change

(2018) Fulgencio Navarro et al.   IEEE Journal of Biomedical and Health Informatics

DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for skin lesion diagnosis

(2018) Ivan Gonzalez Diaz   IEEE Journal of Biomedical and Health Informatics

Skin lesion classification with ensembles of deep convolutional neural networks

(2018) Balazs Harangi   JOURNAL OF BIOMEDICAL INFORMATICS

Dense Deconvolutional Network for Skin Lesion Segmentation

(2018) Hang Li et al.   IEEE Journal of Biomedical and Health Informatics

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

(2018) Philipp Tschandl et al.   Scientific Data

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

(2017) Lequan Yu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance

(2017) Yading Yuan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks

(2017) Yading Yuan et al.   IEEE Journal of Biomedical and Health Informatics

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