Browse > Medical > Medical Image Segmentation > Lesion Segmentation

Lesion Segmentation

20 papers with code · Medical

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

State-of-the-art leaderboards

Greatest papers with code

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

20 Feb 2018LeeJunHyun/Image_Segmentation

In this paper, we propose a Recurrent Convolutional Neural Network (RCNN) based on U-Net as well as a Recurrent Residual Convolutional Neural Network (RRCNN) based on U-Net models, which are named RU-Net and R2U-Net respectively.

IMAGE CLASSIFICATION LESION SEGMENTATION LUNG NODULE SEGMENTATION RETINAL VESSEL SEGMENTATION SEMANTIC SEGMENTATION SKIN CANCER SEGMENTATION

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

7 Oct 2016IBBM/Cascaded-FCN

Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems.

LESION SEGMENTATION

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

18 Mar 2016yaq007/Autofocus-Layer

We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation.

BRAIN TUMOR SEGMENTATION LESION SEGMENTATION

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

16 May 2018neuropoly/spinalcordtoolbox

The goal of this study was to develop a fully-automatic framework, robust to variability in both image parameters and clinical condition, for segmentation of the spinal cord and intramedullary MS lesions from conventional MRI data.

LESION SEGMENTATION

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

18 Oct 2018nabsabraham/focal-tversky-unet

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

LESION SEGMENTATION SEMANTIC SEGMENTATION

RECOD Titans at ISIC Challenge 2017

14 Mar 2017learningtitans/isbi2017-part3

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).

LESION SEGMENTATION META-LEARNING

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

16 Feb 2017sergivalverde/cnn-ms-lesion-segmentation

We evaluate the accuracy of the proposed method on the public MS lesion segmentation challenge MICCAI2008 dataset, comparing it with respect to other state-of-the-art MS lesion segmentation tools.

LESION SEGMENTATION

Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin Lesions

6 Mar 2017igondia/matconvnet-dermoscopy

This report describes our submission to the ISIC 2017 Challenge in Skin Lesion Analysis Towards Melanoma Detection.

LESION SEGMENTATION