Skin Lesion Segmentation

55 papers with code • 2 benchmarks • 1 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).

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

rezazad68/BCDU-Net In Proceedings of the IEEE/CVF international conference on computer vision workshops 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.

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.

DSNet: Automatic Dermoscopic Skin Lesion Segmentation

kamruleee51/Skin-Lesion-Segmentation-Using-Proposed-DSNet 9 Jul 2019

We evaluate our proposed model on two publicly available datasets, namely ISIC-2017 and PH2.

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.

Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle

WuJunde/MrPrism 5 Aug 2022

Inspired by this observation, we propose diagnosis-first principle, which is to take disease diagnosis as the criterion to calibrate the inter-observer segmentation uncertainty.

Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers

mindflow-institue/waveformer 25 Aug 2023

Furthermore, to intensify the importance of the boundary information, we impose an additional attention map by creating a Gaussian pyramid on top of the HF components.

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