Brain Segmentation

60 papers with code • 1 benchmarks • 4 datasets

Libraries

Use these libraries to find Brain Segmentation models and implementations

Latest papers with no code

Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation

no code yet • 23 May 2023

Our system has two components: 1) a segmentation network on the server side which processes the image mixture, and 2) a segmentation unmixing network which recovers the correct segmentation map from the segmentation mixture.

Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

no code yet • 4 Dec 2022

Recent breakthroughs in self-supervised learning (SSL) offer the ability to overcome the lack of labeled training samples by learning feature representations from unlabeled data.

Semi-supervised Learning with Robust Loss in Brain Segmentation

no code yet • 3 Dec 2022

In this work, we used a semi-supervised learning method to train deep learning model that can segment the brain MRI images.

Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI

no code yet • 25 Sep 2022

In this paper, we study the use of the Contour Dice loss for both problems and compare it to other boundary losses and to the combined Dice and Cross-Entropy loss.

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation

no code yet • 12 Aug 2022

To address these issues, we propose a novel medical image inpainting model named TBI-GAN to synthesize TBI MR scans with paired brain label maps.

Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes

no code yet • 23 Jul 2022

Dice scores of both DL models were sufficiently high (>0. 85), and their AUCs for disease classification were superior to that of FS.

Suggestive Annotation of Brain MR Images with Gradient-guided Sampling

no code yet • 2 Jun 2022

We evaluate the framework on two different brain image analysis tasks, namely brain tumour segmentation and whole brain segmentation.

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI

no code yet • 17 May 2022

Fetal Magnetic Resonance Imaging (MRI) is used in prenatal diagnosis and to assess early brain development.

Ischemic Stroke Lesion Segmentation Using Adversarial Learning

no code yet • 11 Apr 2022

Training a segmentation network along with an adversarial network can detect and correct higher order inconsistencies between the segmentation maps produced by ground-truth and the Segmentor.

Learning to segment fetal brain tissue from noisy annotations

no code yet • 25 Mar 2022

However, effective training of a deep learning model to perform this task requires a large number of training images to represent the rapid development of the transient fetal brain structures.