JOURNAL ARTICLE

HT-Net: hierarchical context-attention transformer network for medical ct image segmentation

Mingjun MaHaiying XiaYumei TanHai-Sheng LiShuxiang Song

Year: 2022 Journal:   Applied Intelligence Vol: 52 (9)Pages: 10692-10705   Publisher: Springer Science+Business Media
Keywords:
Computer science Transformer Artificial intelligence Encoder Convolutional neural network Exploit ENCODE Pixel Segmentation Pattern recognition (psychology) Locality Computer vision

Metrics

39
Cited By
7.61
FWCI (Field Weighted Citation Impact)
44
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Radiomics and Machine Learning in Medical Imaging
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
AI in cancer detection
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced X-ray and CT Imaging
Physical Sciences →  Engineering →  Biomedical Engineering

Related Documents

JOURNAL ARTICLE

MC-Net: multi-scale context-attention network for medical CT image segmentation

Haiying XiaMingjun MaHai-Sheng LiShuxiang Song

Journal:   Applied Intelligence Year: 2021 Vol: 52 (2)Pages: 1508-1519
JOURNAL ARTICLE

Hierarchical volumetric transformer with comprehensive attention for medical image segmentation

Zhuang ZhangWenjie Luo

Journal:   Mathematical Biosciences & Engineering Year: 2022 Vol: 20 (2)Pages: 3177-3190
JOURNAL ARTICLE

DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network

Junding SunJiuqiang ZhaoXiaosheng WuChaosheng TangShuihua Wang‎Yudong Zhang

Journal:   Journal of King Saud University - Computer and Information Sciences Year: 2023 Vol: 35 (5)Pages: 101553-101553
© 2026 ScienceGate Book Chapters — All rights reserved.