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Automatic classification of pancreatic cancer from urinary biomarkers using equivariant quantum convolutional neural networks with hybrid optimization algorithm.

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第一作者： Vivekanandan,G

第一单位： Assistant Professor, Department of Computer Science and Engineering, Sri Sairam Institute of Technology, Chennai, India.

作者： Vivekanandan,G ^[1] ; Soma,Prathibha ^[2] ; Suganthi,P ^[1] ; Sankaranarayanan,R ^[3] ; Nallarasan,V ^[4] ; Ravikumar,Sethuraman ^[5]

作者单位： Assistant Professor, Department of Computer Science and Engineering, Sri Sairam Institute of Technology, Chennai, India. ^[1] Professor & Head, Department of CSE(Cyber Security), Sri Sairam Engineering college, Chennai, India. ^[2] Assistant Professor, Artificial Intelligence and Data Science NIMS University, Rajasthan, Jaipur. ^[3] Assistant Professor, Department of Networking and communications, School of computing SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, India. ^[4] Associate Professor, Computer Science and Engineering, Faculty of Engineering and Technology JAIN Deemed-To-Be University, Bengaluru, Karnataka, India. ^[5]

关键词 Adam-Dingo optimizer dual-feature filtering equivariant quantum convolutional neural networks lifted Euler characteristic transform pancreatic cancer diagnosis quantum artificial hummingbird algorithms urine biomarkers

DOI 10.1080/10255842.2025.2575873

PMID 41229375

发布时间 2025-11-13

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