专题征稿 | Special Issue on Transformers for Medical Image Analysis

Machine Intelligence Research

MIR专题"Transformers for Medical Image Analysis"现公开征集原创稿件，截稿日期为2024年7月1日。欢迎赐稿！

Transformers have demonstrated their great potential in the field of natural language processing (NLP). Inspired by the successes of Transformers in NLP, researchers have started to use Vision Transformer (ViT) to deal with image classification tasks by capturing long-term dependencies within the input image. In recent years, Transformers have been applied to medical image analysis, in particular, disease diagnosis, image segmentation, and object detection and synthesis.

The goal of this special issue is to bring together perspectives from various disciplines, including healthcare artificial intelligence, medical image machine learning, bioinformatics and medical record analysis. We wish this special issue becomes a forum where open research questions and opportunities in medical image analysis are identified and addressed in the research community.

Topics of interest include, but are not limited to:

1) Deep learning for cancer detection and prognosis prediction.

2) Deep learning in bioinformatics.

3) Deep learning for biomarker discovery and validation.

4) Explainable deep learning in medical image analysis.

5) Adversarial attacks and defences in deep learning systems.

6) Ethical challenges and solutions in deep learning.

7) Time series analysis using Transformers.

8) Transfer learning and applications using Transformers.

9) Transformer based multi-modal analysis in clinical diagnosis.

10) Transformer based federated learning for distributed medical data.

截稿日期：2024年7月1日

投稿地址（已开通）：

https://mc03.manuscriptcentral.com/mir

投稿时，请在系统中选择：

“Step 6 Details & Comments: Special Issue and Special Section---Transformers for medical image analysis”.

Dr. Zheheng Jiang, School of Computing and Communications, Lancaster University, United Kingdom. Email: z.jiang11@lancaster.ac.uk.

Prof. Huiyu Zhou, School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. Email: hz143@leicester.ac.uk.

Prof. Abdul Sadka, Aston Institute of Digital Futures, Aston University, United Kingdom. Email: a.sadka@aston.ac.uk.

Prof. Dacheng Tao, School of Computer Science and Engineering, Nanyang Technological University, Singapore. Email: dacheng.tao@gmail.com.

Prof. Yike Guo, Department of Computer Science and Engineering, Hong Kong University of Science and Technology, China . Email: yikeguo@ust.hk.

关于Machine Intelligence Research

Machine Intelligence Research（简称MIR，原刊名International Journal of Automation and Computing）由中国科学院自动化研究所主办，于2022年正式出版。MIR立足国内、面向全球，着眼于服务国家战略需求，刊发机器智能领域最新原创研究性论文、综述、评论等，全面报道国际机器智能领域的基础理论和前沿创新研究成果，促进国际学术交流与学科发展，服务国家人工智能科技进步。期刊入选"中国科技期刊卓越行动计划"，已被ESCI、EI、Scopus、中国科技核心期刊、CSCD等数据库收录。

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