Volumetric Medical Image Segmentation

5 papers with code • 1 benchmarks • 1 datasets

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Greatest papers with code

3D Densely Convolutional Networks for VolumetricSegmentation

black0017/MedicalZooPytorch arXiv preprint 2017

The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.

3D Medical Imaging Segmentation Brain Segmentation +3

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

black0017/MedicalZooPytorch 6 Jul 2017

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 +2

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

black0017/MedicalZooPytorch 15 Jun 2016

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

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

jeya-maria-jose/KiU-Net-pytorch 4 Oct 2020

To overcome this issue, we propose using an overcomplete convolutional architecture where we project our input image into a higher dimension such that we constrain the receptive field from increasing in the deep layers of the network.

3D Medical Imaging Segmentation Brain Tumor Segmentation +5

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

MiguelMonteiro/CRFasRNNLayer 19 Jul 2018

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 +1