HybridCTrm: Bridging CNN and Transformer for Multimodal Brain Image Segmentation

HybridCTrm: Bridging CNN and Transformer for Multimodal Brain Image Segmentation

Multimodal medical image segmentation is always a critical problem in medical image segmentation. Traditional deep learning methods utilize fully CNNs for encoding given images, thus leading to deficiency of long-range dependencies and bad generalization performance. Recently, a sequence of Transfor...

Full description

Bibliographic Details
Main Authors:	Qixuan Sun, Nianhua Fang, Zhuo Liu, Liang Zhao, Youpeng Wen, Hongxiang Lin
Format:	Article
Language:	English
Published:	Hindawi Limited 2021-01-01
Series:	Journal of Healthcare Engineering
Online Access:	http://dx.doi.org/10.1155/2021/7467261

Similar Items

State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images
by: Muhammad Yaqub, et al.
Published: (2020-07-01)

LBTS‐Net: A fast and accurate CNN model for brain tumour segmentation
by: Mohammed A. M. Abdullah, et al.
Published: (2021-04-01)

CNN-Based Multimodal Human Recognition in Surveillance Environments
by: Ja Hyung Koo, et al.
Published: (2018-09-01)

Multimodal Medical Supervised Image Fusion Method by CNN
by: Yi Li, et al.
Published: (2021-06-01)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
by: Menze, H. Bjoern, et al.
Published: (2017)

Boundary-Aware CNN for Semantic Segmentation
by: Nan Zou, et al.
Published: (2019-01-01)

Hybrid Architecture Based on CNN and Transformer for Strip Steel Surface Defect Classification
by: Li, S., et al.
Published: (2022)

Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm
by: Li Liu, et al.
Published: (2020-01-01)

A CNN-Transformer Hybrid Approach for Crop Classification Using Multitemporal Multisensor Images
by: Zhengtao Li, et al.
Published: (2020-01-01)

Multistructure segmentation of multimodal brain images using artificial neural networks
by: Kim, Eun Young
Published: (2009)

Segmentation of Microscope Erythrocyte Images by CNN-Enhanced Algorithms
by: Mateusz Buczkowski, et al.
Published: (2021-03-01)

An Improved Mask R-CNN Model for Multiorgan Segmentation
by: Jian-Hua Shu, et al.
Published: (2020-01-01)

Orientation-Encoding CNN for Point Cloud Classification and Segmentation
by: Hongbin Lin, et al.
Published: (2021-08-01)

CNN‐based off‐angle iris segmentation and recognition
by: Ehsaneddin Jalilian, et al.
Published: (2021-09-01)

MCMC Guided CNN Training and Segmentation for Pancreas Extraction
by: Mu Tian, et al.
Published: (2021-01-01)

Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF
by: Zeju Li, et al.
Published: (2017-01-01)

Effective Source-Aware Domain Enhancement and Adaptation for CNN-Based Object Segmentation
by: Kuo-Liang Chung, et al.
Published: (2020-01-01)

Lung Segmentation in CT Images: A CNN U-Net hybrid approach on a cross-cohort dataset
by: Joana Vale Amaro de Sousa
Published: (2021)

SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder
by: Hans E. Atlason, et al.
Published: (2019-01-01)

Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images
by: Rui Hua, et al.
Published: (2020-02-01)

Weighted Mask R-CNN for Improving Adjacent Boundary Segmentation
by: SungMin Suh, et al.
Published: (2021-01-01)

Protein Crystal Instance Segmentation Based on Mask R-CNN
by: Jiangping Qin, et al.
Published: (2021-02-01)

Face Detection and Segmentation Based on Improved Mask R-CNN
by: Kaihan Lin, et al.
Published: (2020-01-01)

Medical Image Segmentation Algorithm Based on Feedback Mechanism CNN
by: Feng-Ping An, et al.
Published: (2019-01-01)

Lumen Contour Segmentation in IVOCT Based on N-type CNN
by: Junjie Tang, et al.
Published: (2019-01-01)

Non-Touch Sign Word Recognition Based on Dynamic Hand Gesture Using Hybrid Segmentation and CNN Feature Fusion
by: Md Abdur Rahim, et al.
Published: (2019-09-01)

Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNN
by: Bijen Khagi, et al.
Published: (2018-01-01)

Brain Tumor Segmentation and Survival Prediction Using Multimodal MRI Scans With Deep Learning
by: Li Sun, et al.
Published: (2019-08-01)

Multimodal Magnetic Resonance Image Brain Tumor Segmentation Based on ACU-Net Network
by: Ling Tan, et al.
Published: (2021-01-01)

Automatic Detection and Segmentation for Group-Housed Pigs Based on PigMS R-CNN
by: Shuqin Tu, et al.
Published: (2021-05-01)

A Fast Iris Segmentation Algorithm based on Faster R-CNN
by: Po-Jen Huang, et al.
Published: (2018)

CNN-Based Segmentation and Tracking in Magnetic Resonance and Ultrasound Image Sequence
by: Cheng-WeiYang, et al.
Published: (2019)

SEEK: A Framework of Superpixel Learning with CNN Features for Unsupervised Segmentation
by: Talha Ilyas, et al.
Published: (2020-02-01)

Segmentation and detection of cattle branding images using CNN and SVM classification
by: Carlos SILVA, et al.
Published: (2020-05-01)

A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation
by: Jinghua Zhang, et al.
Published: (2020-01-01)

CNN based lane detection with instance segmentation in edge-cloud computing
by: Wei Wang, et al.
Published: (2020-05-01)

CNN-Based Quality Assurance for Automatic Segmentation of Breast Cancer in Radiotherapy
by: Xinyuan Chen, et al.
Published: (2020-04-01)

CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images
by: Zhichao Meng, et al.
Published: (2020-09-01)

SIS-CNN: Semantic Image Segmentation Using Convolutional Neural Networks
by: Muhammad Adeel Ahmed Tahir, et al.
Published: (2021-09-01)

Deep learning in mammography images segmentation and classification: Automated CNN approach
by: Wessam M. Salama, et al.
Published: (2021-10-01)