Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning-Reference-Cited by-同舟云学术

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning

Published:2023-08 Issue:8 Volume:42 Page:2348-2359
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Gao Zeyu¹^ORCID,Mao Anyu¹,Wu Kefei²,Li Yang¹,Zhao Liebin²,Zhang Xianli¹^ORCID,Wu Jialun¹,Yu Lisha³,Xing Chao⁴,Gong Tieliang¹^ORCID,Zheng Yefeng⁵^ORCID,Meng Deyu⁶^ORCID,Zhou Min²,Li Chen¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Xi’an Jiaotong University, Xi'an, China

2. Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Shanghai, China

3. Department of HematologyOncology, Key Laboratory of Pediatric Hematology and Oncology of China Ministry of Health, National Children's Medical Center, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

4. Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China

5. Tencent Jarvis Laboratory, Shenzhen, China

6. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Ningxia Hui Nationality Autonomous Region

Key Research and Development Program of Shaanxi Province

Consulting Research Project of the Chinese Academy of Engineering

Project of China Knowledge Centre for Engineering Science and Technology

Innovation Team from the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/42/10198906/10050510.pdf?arnumber=10050510

Reference62 articles.

1. DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

2. Initial Diagnostic Work-Up of Acute Leukemia: ASCO Clinical Practice Guideline Endorsement of the College of American Pathologists and American Society of Hematology Guideline

3. TransMIL: Transformer based correlated multiple instance learning for whole slide image classification;shao;Proc Adv Neural Inf Process Syst,2021