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Computers in Biology and Medicine 21
Showing records 1 to 21 | Display all abstracts in Computers in Biology and Medicine125676 EffiViT: Hybrid CNN-Transformer for Retinal Imaging
Rajatha
Computers in Biology and Medicine 2025; 191: 110164
126474 On QSPR analysis of glaucoma drugs using machine learning with XGBoost and regression models
Huang L
Computers in Biology and Medicine 2025; 187: 109731
126606 Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images
Chowdhury A
Computers in Biology and Medicine 2025; 187: 109752
126417 A pupillary image dataset: 10,000 annotated and 258,790 non-annotated images of patients with glaucoma, diabetes, and subjects influenced by alcohol, coupled with a segmentation performance evaluation
Camilo ENR
Computers in Biology and Medicine 2025; 186: 109594
126566 Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma
Vieira C
Computers in Biology and Medicine 2025; 185: 109556
126606 Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images
Lodh A
Computers in Biology and Medicine 2025; 187: 109752
126417 A pupillary image dataset: 10,000 annotated and 258,790 non-annotated images of patients with glaucoma, diabetes, and subjects influenced by alcohol, coupled with a segmentation performance evaluation
Junior AP
Computers in Biology and Medicine 2025; 186: 109594
126566 Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma
Rocha L
Computers in Biology and Medicine 2025; 185: 109556
125676 EffiViT: Hybrid CNN-Transformer for Retinal Imaging
Ashoka DV
Computers in Biology and Medicine 2025; 191: 110164
126474 On QSPR analysis of glaucoma drugs using machine learning with XGBoost and regression models
Alhulwah KH
Computers in Biology and Medicine 2025; 187: 109731
126566 Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma
Guimarães M
Computers in Biology and Medicine 2025; 185: 109556
126474 On QSPR analysis of glaucoma drugs using machine learning with XGBoost and regression models
Hanif MF
Computers in Biology and Medicine 2025; 187: 109731
126606 Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images
Agarwal R
Computers in Biology and Medicine 2025; 187: 109752
126417 A pupillary image dataset: 10,000 annotated and 258,790 non-annotated images of patients with glaucoma, diabetes, and subjects influenced by alcohol, coupled with a segmentation performance evaluation
Pinheiro HM
Computers in Biology and Medicine 2025; 186: 109594
126474 On QSPR analysis of glaucoma drugs using machine learning with XGBoost and regression models
Siddiqui MK
Computers in Biology and Medicine 2025; 187: 109731
126606 Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images
Garai R
Computers in Biology and Medicine 2025; 187: 109752
126417 A pupillary image dataset: 10,000 annotated and 258,790 non-annotated images of patients with glaucoma, diabetes, and subjects influenced by alcohol, coupled with a segmentation performance evaluation
da Costa RM
Computers in Biology and Medicine 2025; 186: 109594
126566 Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma
Dias D
Computers in Biology and Medicine 2025; 185: 109556
126606 Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images
Nandi A
Computers in Biology and Medicine 2025; 187: 109752
126474 On QSPR analysis of glaucoma drugs using machine learning with XGBoost and regression models
Ikram AS
Computers in Biology and Medicine 2025; 187: 109731
126606 Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images
Murmu N; Banerjee S; Nandi D
Computers in Biology and Medicine 2025; 187: 109752
