MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for pancreas segmentation-Reference-Cited by-同舟云学术

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MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for pancreas segmentation

Published:2024-09-11 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wang HuiFang,Yang DaWei,Zhu Yu^ORCID,Liu YaTong,Lin JiaJun

Funder

Science and Technology Commission of Shanghai Municipality

National Scientific Foundation of China

Fujian Province Department of Science and Technology

Shanghai Municipal Science and Technology Major Project

Shanghai Municipal Key Clinical Specialty

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-024-05780-9.pdf

Reference52 articles.

1. Ilic M, Ilic I (2016) Epidemiology of pancreatic cancer. World J Gastroenterol 22(44):9694

2. Pelosi E, Castelli G, Testa U (2017) Pancreatic cancer: molecular characterization, clonal evolution and cancer stem cells. Biomedicines 5(4):65

3. Wang X, Wu X, Zhang Z et al (2018) Monensin inhibits cell proliferation and tumor growth of chemo-resistant pancreatic cancer cells by targeting the egfr signaling pathway. Sci Rep 8(1):17914

4. Ju J, Li J, Chang Z et al (2023) Incorporating multi-stage spatial visual cues and active localization offset for pancreas segmentation. Pattern Recognit Lett 170:85–92

5. Paithane PM, Kakarwal S (2022) Automatic pancreas segmentation using a novel modified semantic deep learning bottom-up approach. Int J Intell Syst Appl Eng 10(1):98–104

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