H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation-Reference-Cited by-同舟云学术

H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation

Author:

He Along¹^ORCID,Wang Kai¹^ORCID,Li Tao²^ORCID,Du Chengkun¹,Xia Shuang³,Fu Huazhu⁴^ORCID

Affiliation:

1. Tianjin Key Laboratory of Network and Data Security Technology, College of Computer Science, Nankai University, Tianjin, China

2. College of Computer Science, Nankai University, Tianjin, China

3. Radiology Department, Tianjin First Central Hospital, Nankai, Tianjin, China

4. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore

Funder

National Natural Science Foundation

CAAI-Huawei MindSpore Open Fund

AISG Tech Challenge Fundin

A*STAR CDF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference55 articles.

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