CQformer: Learning Dynamics Across Slices in Medical Image Segmentation

Prevalent studies on deep learning-based 3D medical image segmentation capture the continuous variation across 2D slices mainly via convolution, Transformer, inter-slice interaction, and time series models. In this work, via modeling this variation by an ordinary differential equation (ODE), we prop...

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Bibliographic Details
Published in:	IEEE transactions on medical imaging Vol. 44; no. 2; pp. 1043 - 1057
Main Authors:	Zhang, Shengjie, Shen, Xin, Chen, Xiang, Yu, Ziqi, Ren, Bohan, Yang, Haibo, Zhang, Xiao-Yong, Zhou, Yuan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.02.2025
Subjects:	Algorithms Biomedical imaging Brain - diagnostic imaging Convolution cross instance query Databases, Factual Decoding Deep Learning Feature extraction Head Humans Image segmentation Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods Medical image segmentation ordinary differential equation Shape Three-dimensional displays Time series analysis Tomography, X-Ray Computed transformer Transformers
ISSN:	0278-0062, 1558-254X, 1558-254X
Online Access:	Get full text
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