Browse > Medical > Medical Image Segmentation > Lesion Segmentation

Lesion Segmentation

30 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

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

18 Mar 2016Kamnitsask/deepmedic

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

3D MEDICAL IMAGING SEGMENTATION BRAIN LESION SEGMENTATION FROM MRI BRAIN TUMOR SEGMENTATION LESION SEGMENTATION

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

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

Boundary loss for highly unbalanced segmentation

17 Dec 2018LIVIAETS/surface-loss

We argue that a boundary loss can mitigate the difficulties of regional losses in the context of highly unbalanced segmentation problems because it uses integrals over the boundary between regions instead of unbalanced integrals over regions.

BRAIN LESION SEGMENTATION FROM MRI ISCHEMIC STROKE LESION SEGMENTATION LESION SEGMENTATION SEMANTIC SEGMENTATION UNBALANCED 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

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

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation

3 Aug 2018tanyanair/segmentation_uncertainty

We present the first exploration of multiple uncertainty estimates based on Monte Carlo (MC) dropout [4] in the context of deep networks for lesion detection and segmentation in medical images.

LESION SEGMENTATION