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Hybrid GAN-LSTM framework for diabetic foot ulcer image synthesis and automated diagnosis.

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第一作者： Abinaya,Vina

第一单位： Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.

作者： Abinaya,Vina ^[1] ; G,Prajasree ^[1] ; Siddharth,Venkatesh ^[1] ; Suresh,Sankaranarayanan ^[2] ; K,Meenakshi ^[1] ; Abdul Raouf,Khan ^[2] ; Sharmila Banu Sheik,Imam ^[2] ; Abdul Rahaman,Wahab Sait ^[3]

作者单位： Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. ^[1] Department of Computer Science, College of Computer Sciences and Information Technology, King Faisal University, Al Hofuf, Saudi Arabia. ^[2] Department of Documents and Archives, King Faisal University, Al Hofuf, Saudi Arabia. ^[3]

关键词 CNN-LSTM Efficienet V2M-LSTM Efficienet V2S-LSTM LSTM WGAN-GP deep learning diabetic foot ulcer (DFU)

DOI 10.3389/fmed.2026.1742345

PMID 41877793

发布时间 2026-03-25

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Hybrid GAN-LSTM framework for diabetic foot ulcer image synthesis and automated diagnosis.

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Hybrid GAN-LSTM framework for diabetic foot ulcer image synthesis and automated diagnosis.

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