Article

Brain CT Registration Using Hybrid Supervised Convolutional Neural Network

2021-08-09

Abstract excerpt

<h4>Background: </h4> Brain computed tomography (CT) image registration is an essential step in the image evaluation of acute cerebrovascular disease (ACVD). Due to the complexity of human brain morphology, low brain CT soft-tissue resolution, low gray/white matter contrast, and the large anatomy variation across individuals, it is still a great challenge to perform brain CT registration accurately and rapidly. Th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4f9ab30d-0ddd-5a70-af69-e533d8a03b8f
DOI: 10.21203/rs.3.rs-779429/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Brain CT Registration Using Hybrid Supervised Convolutional Neural NetworkDOI 10.21203/rs.3.rs-779429/v1Read

Synthetic MRI Generation from CT Scans for Stroke PatientsSemantic proximity Read

MRI-GAN: MRI and Tissues Transfer Using Generative Adversarial Networks<strong> </strong>Semantic proximity Read

ADG-Net: A Lightweight Adaptive Deformable Convolution Network with Gradient-Optimized Pooling for Medical Image SegmentationSemantic proximity Read

Clinical Validation of a Deep Learning Model forSegmenting and Quantifying Intracranial andVentricular Volumes on Computed TomographySemantic proximity Read

MDD-Net: Medical Segmentation with Parallel Denoising TransformationSemantic proximity Read

DTA-UNet: U-Net Based on Dynamic Convolution Decomposition and Triplet AttentionSemantic proximity Read

Developments in Deep Learning Artificial Neural Networks Techniques for Medical Image Analysis and InterpretationSemantic proximity Read

AI-Based Pipeline for the Segmentation of White Matter Hypoattenuations in CT Scans: A Design-Choice Validation StudySemantic proximity Read

Swin Unet3D: A three-dimensional medicalimage segmentation network combiningVision Transformer and ConvolutionSemantic proximity Read

Brain Tumor classification using BrainNet: A Deep Learning ApproachSemantic proximity Read

Transfer Learning using Generative Adversarial Networks for MRI Brain Image SegmentationSemantic proximity Read

BioDeformUNet: A Deep Learning Model for Biomechanically Informed Liver Image RegistrationSemantic proximity Read