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3D Medical Imaging Segmentation

9 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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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

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

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

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

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

Elastic Boundary Projection for 3D Medical Imaging Segmentation

3 Dec 2018twni2016/Elastic-Boundary-Projection

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

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

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

Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images

11 Jul 2013wq2012/DecisionForest

The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and inhomogeneous intensities.

3D MEDICAL IMAGING SEGMENTATION