Skin Lesion Segmentation

32 papers with code • 1 benchmarks • 0 datasets

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Most implemented papers

A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation

nabsabraham/focal-tversky-unet 18 Oct 2018

We propose a generalized focal loss function based on the Tversky index to address the issue of data imbalance in medical image segmentation.

RECOD Titans at ISIC Challenge 2017

learningtitans/isbi2017-part3 14 Mar 2017

This extended abstract describes the participation of RECOD Titans in parts 1 and 3 of the ISIC Challenge 2017 "Skin Lesion Analysis Towards Melanoma Detection" (ISBI 2017).

Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging

dipaco/mole-classification 21 Aug 2018

We present a superpixel-based strategy for segmenting skin lesion on dermoscopic images.

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

rezazad68/BCDU-Net 31 Aug 2019

To strengthen feature propagation and encourage feature reuse, we use densely connected convolutions in the last convolutional layer of the encoding path.

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

HiLab-git/CA-Net 22 Sep 2020

Also, we propose a scale attention module implicitly emphasizing the most salient feature maps among multiple scales so that the CNN is adaptive to the size of an object.

MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation

hritam-98/MFSNet 27 Mar 2022

Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for further diagnosis.

Automatic skin lesion segmentation with fully convolutional-deconvolutional networks

manideep2510/melanoma_segmentation 15 Mar 2017

This paper summarizes our method and validation results for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part I: Lesion Segmentation

Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images

xmengli999/Deeply-Supervised-Rotation-Equivariant-Network-for-Lesion-Segmentation 8 Jul 2018

Our best model achieves 77. 23\%(JA) on the test dataset, outperforming the state-of-the-art challenging methods and further demonstrating the effectiveness of our proposed deeply supervised rotation equivariant segmentation network.

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks

RegulusReggie/CS259 17 Jul 2018

This paper summarizes our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation

Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space

fitushar/Skin-lesion-Segmentation-using-grabcut 30 Sep 2018

Skin lesion segmentation is one of the first steps towards automatic Computer-Aided Diagnosis of skin cancer.