Browse > Medical > Medical Image Segmentation > Lesion Segmentation

Lesion Segmentation

49 papers with code · Medical

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

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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

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

Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation

10 Mar 2020rezazad68/BCDU-Net

These blocks adaptively recalibrate the channel-wise feature responses by utilizing a self-gating mechanism of the global information embedding of the feature maps.

LESION SEGMENTATION SEMANTIC SEGMENTATION

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

31 Aug 2019rezazad68/BCDU-Net

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

LESION SEGMENTATION LUNG NODULE SEGMENTATION SEMANTIC 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

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

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

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

13 Feb 2020nyukat/GMIC

In this work, we extend the globally-aware multiple instance classifier, a framework we proposed to address these unique properties of medical images.

LESION SEGMENTATION

Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation

30 Jul 2019utkuozbulak/adaptive-segmentation-mask-attack

Given that a large portion of medical imaging problems are effectively segmentation problems, we analyze the impact of adversarial examples on deep learning-based image segmentation models.

LESION SEGMENTATION OPTIC DISC SEGMENTATION SEMANTIC SEGMENTATION