Browse > Medical > Medical Image Segmentation > Brain Segmentation

Brain Segmentation

19 papers with code ยท Medical

Leaderboards

Latest papers without code

Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention

12 Jan 2020

Brain magnetic resonance (MR) segmentation for hydrocephalus patients is considered as a challenging work.

BRAIN SEGMENTATION SEMANTIC SEGMENTATION

Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy

5 Dec 2019

Therefore, thresholding method is still the state-of-the-art technique that is widely used as a way of managing pixels involved in brain perfusion ROI.

BRAIN SEGMENTATION

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

20 Nov 2019

Finally, we showed the interest of using semi-supervised learning to improve the performance of our method.

BRAIN SEGMENTATION DECISION MAKING

CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion

10 Oct 2019

Label propagation is a popular technique for anatomical segmentation.

BRAIN SEGMENTATION

FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline

9 Oct 2019

In this work we propose a fast and accurate deep learning based neuroimaging pipeline for the automated processing of structural human brain MRI scans, including surface reconstruction and cortical parcellation.

BRAIN SEGMENTATION

Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

13 Aug 2019

Generalizability is an important problem in deep neural networks, especially in the context of the variability of data acquisition in clinical magnetic resonance imaging (MRI).

BRAIN SEGMENTATION DATA AUGMENTATION TRANSFER LEARNING

Automatic Intracranial Brain Segmentation from Computed Tomography Head Images

21 Jun 2019

Fast and automatic algorithm to segment Brain (intracranial region) from computed tomography (CT) head images using combination of HU thresholding, identification of intracranial voxels through ray intersection with cranium, special binary erosion and connected components per slice.

BRAIN SEGMENTATION COMPUTED TOMOGRAPHY (CT)

AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

5 Jun 2019

Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images.

BRAIN SEGMENTATION DECISION MAKING

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

16 May 2019

A disadvantage of FL is the dependence on a central server, which requires all clients to agree on one trusted central body, and whose failure would disrupt the training process of all clients.

BRAIN SEGMENTATION