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Medical Image Segmentation

41 papers with code · Medical

Medical image segmentation is the task of segmenting objects of interest in a medical image - for example organs or lesions.

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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

Attention U-Net: Learning Where to Look for the Pancreas

11 Apr 2018ozan-oktay/Attention-Gated-Networks

We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes.

PANCREAS SEGMENTATION SEMANTIC 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

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

15 Jun 2016mattmacy/vnet.pytorch

Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields.

SEMANTIC SEGMENTATION VOLUMETRIC MEDICAL IMAGE SEGMENTATION

Brain Tumor Segmentation with Deep Neural Networks

13 May 2015naldeborgh7575/brain_segmentation

Finally, we explore a cascade architecture in which the output of a basic CNN is treated as an additional source of information for a subsequent CNN.

BRAIN TUMOR SEGMENTATION

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation

17 Apr 2019MIC-DKFZ/nnunet

Fueled by the diversity of datasets, semantic segmentation is a popular subfield in medical image analysis with a vast number of new methods being proposed each year.

MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks

1 Sep 2017taigw/brats17

A cascade of fully convolutional neural networks is proposed to segment multi-modal Magnetic Resonance (MR) images with brain tumor into background and three hierarchical regions: whole tumor, tumor core and enhancing tumor core.

BRAIN TUMOR SEGMENTATION

Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters

9 Feb 2019justusschock/shapenet

We present a method for highly efficient landmark detection that combines deep convolutional neural networks with well established model-based fitting algorithms.

FACIAL LANDMARK DETECTION MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Autofocus Layer for Semantic Segmentation

22 May 2018yaq007/Autofocus-Layer

We propose the autofocus convolutional layer for semantic segmentation with the objective of enhancing the capabilities of neural networks for multi-scale processing.

BRAIN TUMOR SEGMENTATION SEMANTIC SEGMENTATION