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3D Medical Imaging Segmentation

12 papers with code · Medical

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

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Latest papers with code

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 SEMANTIC SEGMENTATION

110
13 Jun 2019

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

9 Jun 2019mateuszbuda/brain-segmentation-pytorch

Based on automatic deep learning segmentations, we extracted three features which quantify two-dimensional and three-dimensional characteristics of the tumors.

3D MEDICAL IMAGING SEGMENTATION BRAIN SEGMENTATION BRAIN TUMOR SEGMENTATION

121
09 Jun 2019

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 OXYCLE TRANSFER LEARNING

520
01 Apr 2019

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

10 Dec 2018HaoZheng94/Ensemble

In this paper, we propose a new ensemble learning framework for 3D biomedical image segmentation that combines the merits of 2D and 3D models.

3D MEDICAL IMAGING SEGMENTATION SEMANTIC SEGMENTATION

11
10 Dec 2018

Elastic Boundary Projection for 3D Medical Imaging Segmentation

3 Dec 2018twni2016/EBP

Therefore, we place a number of pivot points in the 3D space, and for each pivot, we determine its distance to the object boundary along a dense set of directions.

3D MEDICAL IMAGING SEGMENTATION

29
03 Dec 2018

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 IMAGE SEGMENTATION SEMI-SUPERVISED SEMANTIC SEGMENTATION

146
29 Oct 2018

Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation

19 Jul 2018MiguelMonteiro/CRFasRNNLayer

In this paper, we test whether this algorithm, which was shown to improve semantic segmentation for 2D RGB images, is able to improve segmentation quality for 3D multi-modal medical images.

3D MEDICAL IMAGING SEGMENTATION SEMANTIC SEGMENTATION VOLUMETRIC MEDICAL IMAGE SEGMENTATION

42
19 Jul 2018

An application of cascaded 3D fully convolutional networks for medical image segmentation

14 Mar 2018holgerroth/3Dunet_abdomen_cascade

In this work, we show that a multi-class 3D FCN trained on manually labeled CT scans of several anatomical structures (ranging from the large organs to thin vessels) can achieve competitive segmentation results, while avoiding the need for handcrafting features or training class-specific models.

3D MEDICAL IMAGING SEGMENTATION SEMANTIC SEGMENTATION

68
14 Mar 2018

TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions

29 Jan 2018mattiaspaul/TernaryNet

We propose a new scheme that approximates both trainable weights and neural activations in deep networks by ternary values and tackles the open question of backpropagation when dealing with non-differentiable functions.

3D MEDICAL IMAGING SEGMENTATION PANCREAS SEGMENTATION

5
29 Jan 2018

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

122
12 Dec 2016