Automatic segmentation of skin lesions using deep learning
JP Ebenezer, JC Rajapakse - arXiv preprint arXiv:1807.04893, 2018 - arxiv.org
This paper summarizes the method used in our submission to Task 1 of the International
Skin Imaging Collaboration's (ISIC) Skin Lesion Analysis Towards Melanoma Detection …
Skin Imaging Collaboration's (ISIC) Skin Lesion Analysis Towards Melanoma Detection …
[PDF][PDF] Automatic skin lesion segmentation using deep fully convolutional networks
arXiv:1807.06466v1 [cs.CV] 17 Jul 2018 Page 1 arXiv:1807.06466v1 [cs.CV] 17 Jul 2018
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks Hongming Xu …
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks Hongming Xu …
Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance
Y Yuan, M Chao, YC Lo - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation in dermoscopic images is a challenging task due to the
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
[PDF][PDF] Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
Y Yuan - arXiv preprint arXiv:1703.05165, 2017 - arxiv.org
arXiv:1703.05165v2 [cs.CV] 28 Sep 2017 Page 1 arXiv:1703.05165v2 [cs.CV] 28 Sep 2017
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks Yading …
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks Yading …
Deep learning ensemble methods for skin lesion analysis towards melanoma detection
Skin cancer has a significant impact across the world. Melanoma is a malignant form of skin
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …
A detection and segmentation architecture for skin lesion segmentation on dermoscopy images
This report summarises our method and validation results for the ISIC Challenge 2018-Skin
Lesion Analysis Towards Melanoma Detection-Task 1: Lesion Segmentation. We present a …
Lesion Analysis Towards Melanoma Detection-Task 1: Lesion Segmentation. We present a …
Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks
Y Yuan, YC Lo - IEEE journal of biomedical and health …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-
aided diagnosis of melanoma. However, this task is challenging due to significant variations …
aided diagnosis of melanoma. However, this task is challenging due to significant variations …
Rethinking skin lesion segmentation in a convolutional classifier
Melanoma is a fatal form of skin cancer when left undiagnosed. Computer-aided diagnosis
systems powered by convolutional neural networks (CNNs) can improve diagnostic …
systems powered by convolutional neural networks (CNNs) can improve diagnostic …
Multi-scale fully convolutional DenseNets for automated skin lesion segmentation in dermoscopy images
This paper addresses the problem of automated skin lesion segmentation in dermoscopy
images. We propose a novel Multi-Scale Fully Convolutional DenseNets (MSFCDN) for skin …
images. We propose a novel Multi-Scale Fully Convolutional DenseNets (MSFCDN) for skin …
Skin lesion segmentation using U-Net and good training strategies
F Guth, TE deCampos - arXiv preprint arXiv:1811.11314, 2018 - arxiv.org
In this paper we approach the problem of skin lesion segmentation using a convolutional
neural network based on the U-Net architecture. We present a set of training strategies that …
neural network based on the U-Net architecture. We present a set of training strategies that …