Review of medical image processing using quantum-enabled algorithms

被引：0
|
作者：
Yan, Fei [1 ]
Huang, Hesheng [1 ]
Pedrycz, Witold [2 ,3 ,4 ,5 ]
Hirota, Kaoru [6 ]
机构：
[1] Changchun Univ Sci & Technol, Sch Comp Sci & Technol, Changchun 130022, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2R3, Canada
[3] Polish Acad Sci, Syst Res Inst, PL-00901 Warsaw, Poland
[4] Istinye Univ, Res Ctr Performance & Prod Anal, TR-34010 Istanbul, Turkiye
[5] Natl Informat Proc Inst, PL-00608 Warsaw, Poland
[6] Tokyo Inst Technol, Sch Comp, Yokohama 2268502, Japan
来源：
ARTIFICIAL INTELLIGENCE REVIEW | 2024年 / 57卷 / 11期
关键词：
Biomedical engineering; Machine learning; Quantum computing; Medical image processing; Computer-aided diagnosis; Medical image security; NETWORKS; SEGMENTATION; TRANSFORM; FRAMEWORK; CANCER; SCHEME;
D O I：
10.1007/s10462-024-10932-x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Efficient and reliable storage, analysis, and transmission of medical images are imperative for accurate diagnosis, treatment, and management of various diseases. Since quantum computing can revolutionize big data analytics by providing faster solutions and security tactics, numerous studies in this field have focused on the use of quantum and quantum-inspired algorithms to enhance the performance of traditional medical image processing approaches. This review aims to provide readers with a succinct yet adequate compendium of the advances in medical image processing combined with quantum behaviors for disease diagnosis and medical image security. Some open challenges are outlined, identifying the performance limitations of current quantum technology in their applications, while addressing the short-, medium-, and long-term development plans of this field in designing future quantum healthcare systems. We hope that this review will provide full guidance for upcoming researchers interested in this area and will stimulate further appetite of experts already active in this area aimed at the pursuit of more advanced quantum paradigms in medical image processing applications.
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页数：52
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