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Federated learning and deep learning framework for MRI image and speech signal-based multi-modal depression detection.

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第一作者： Minakshee,Patil

第一单位： Electronics and Telecommunication, MKSSS's Cummins College of Engineering for Women, Pune, Cummins College Rd, Karve Nagar, Pune, Maharashtra 411052, India. Electronic address: minaksheepatil.me@gmail.com.

作者： Minakshee,Patil ^[1] ; Prachi,Mukherji ^[2] ; Vijay,Wadhai ^[3]

作者单位： Electronics and Telecommunication, MKSSS's Cummins College of Engineering for Women, Pune, Cummins College Rd, Karve Nagar, Pune, Maharashtra 411052, India. Electronic address: minaksheepatil.me@gmail.com. ^[1] Electronics and Telecommunication, MKSSS's Cummins College of Engineering for Women, Pune, Cummins College Rd, Karve Nagar, Pune, Maharashtra 411052, India. Electronic address: prachi.mukherji@cumminscollege.in. ^[2] Astute Career Counselling Academy, Pune, Astute Career Counselling Academy, 1st Floor, Office No. 4 & 5, Aditya Ceneteegra FC Road, Pune, Maharashtra 411044, India. Electronic address: drwadhai.vijay@gmail.com. ^[3]

关键词 African vulture optimization (AVO)Deep Convolutional neural network (DCNN)Depression detection Federated learning (FL)Pelican optimization algorithm (POA)

医学主题词人类(Humans);磁共振成像(Magnetic Resonance Imaging);抑郁(Depression);言语(Speech);青少年(Adolescent);算法(Algorithms)

DOI 10.1016/j.compbiolchem.2024.108232

PMID 39423605

发布时间 2024-12-13

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