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3D medical imaging segmentation is the task of segmenting medical objects of interest from 3D medical imaging.

( Image credit: Elastic Boundary Projection for 3D Medical Image Segmentation )

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Greatest papers with code

Med3D: Transfer Learning for 3D Medical Image Analysis

1 Apr 2019Tencent/MedicalNet

The performance on deep learning is significantly affected by volume of training data.

3D MEDICAL IMAGING SEGMENTATION LIVER SEGMENTATION TRANSFER LEARNING

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

Enforcing temporal consistency in Deep Learning segmentation of brain MR images

13 Jun 2019bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

Proposed CNN based segmentation approaches demonstrate how 2D segmentation using prior slices can provide similar results to 3D segmentation while maintaining good continuity in the 3D dimension and improved speed.

3D MEDICAL IMAGING SEGMENTATION 4D SPATIO TEMPORAL SEMANTIC SEGMENTATION BRAIN IMAGE SEGMENTATION HIPPOCAMPUS

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

6 Jul 2017black0017/MedicalZooPytorch

To illustrate its efficiency of learning 3D representation from large-scale image data, the proposed network is validated with the challenging task of parcellating 155 neuroanatomical structures from brain MR images.

3D MEDICAL IMAGING SEGMENTATION SEMANTIC SEGMENTATION TRANSFER LEARNING VOLUMETRIC MEDICAL IMAGE SEGMENTATION

Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

29 Oct 2018arnab39/FewShot_GAN-Unet3D

In addition, our work presents a comprehensive analysis of different GAN architectures for semi-supervised segmentation, showing recent techniques like feature matching to yield a higher performance than conventional adversarial training approaches.

3D MEDICAL IMAGING SEGMENTATION BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION FEW-SHOT SEMANTIC SEGMENTATION SEMI-SUPERVISED SEMANTIC SEGMENTATION

A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

11 May 2020freesurfer/freesurfer

Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple sclerosis patients.

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

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

12 Dec 2016josedolz/LiviaNET

To the best of our knowledge, our work is the first to study subcortical structure segmentation on such large-scale and heterogeneous data.

3D MEDICAL IMAGING SEGMENTATION BRAIN SEGMENTATION