DResU-Net: 3D Deep Residual U-Net Based Brain Tumor Segmentation from Multimodal MRI

Rehan Raza; Usama Ijaz Bajwa; Yasar Mehmood; Muhammad Waqas Anwar; Muhammad Hassan Jamal

doi:10.2139/ssrn.4024177

ScienceGate Book Chapters

JOURNAL ARTICLE

DResU-Net: 3D Deep Residual U-Net Based Brain Tumor Segmentation from Multimodal MRI

Rehan Raza Usama Ijaz Bajwa Yasar Mehmood Muhammad Waqas Anwar Muhammad Hassan Jamal

Year: 2022 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.4024177

Get Full-Text PDF Get Analytical Report

Keywords:

Residual Net (polyhedron) Segmentation Artificial intelligence Brain tumor Computer science Pattern recognition (psychology) Medicine Mathematics Algorithm Pathology Geometry

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

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

DResU-Net: 3D Deep Residual U-Net Based Brain Tumor Segmentation from Multimodal MRI

Metrics

Citation History

Topics

Related Documents

dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI

Brain Tumor Segmentation Based on 3D Residual U-Net

AResU-Net: Attention Residual U-Net for Brain Tumor Segmentation

Multimodal mini U-net for brain tumor segmentation

ABI-Net: Attention-Based Inception U-Net for Brain Tumor Segmentation From Multimodal MRI Images