Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation

Tongxue Zhou; Stéphane Canu; Su Ruan

doi:10.1016/j.compmedimag.2020.101811

ScienceGate Book Chapters

JOURNAL ARTICLE

Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation

Tongxue Zhou Stéphane Canu Su Ruan

Year: 2020 Journal: Computerized Medical Imaging and Graphics Vol: 86 Pages: 101811-101811 Publisher: Elsevier BV

DOI: 10.1016/j.compmedimag.2020.101811

Get Full-Text PDF Get Analytical Report

Keywords:

Segmentation Computer science Context (archaeology) Hausdorff distance Artificial intelligence Constraint (computer-aided design) Dice Pattern recognition (psychology) Sequence (biology) Mathematics

Metrics

Cited By

2.96

FWCI (Field Weighted Citation Impact)

Refs

0.89

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation

Metrics

Citation History

Topics

Related Documents

Multi-modal Brain Tumor Segmentation Based on Cross-attention Fusion

Brain Tumor Segmentation Based on Attention Mechanism and Multi-model Fusion

A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation

Atrous Convolution-Based Fusion Attention Mechanism for Brain Tumor Segmentation

Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint