Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks.

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作者： Inés A,Cruz-Guerrero ^[1] ; Daniel Ulises,Campos-Delgado ^[2] ; Aldo R,Mejía-Rodríguez ^[2] ; Raquel,Leon ^[3] ; Samuel,Ortega ^[3] ; Himar,Fabelo ^[3] ; Rafael,Camacho ^[4] ; Maria de la Luz,Plaza ^[4] ; Gustavo,Callico ^[3]

作者单位： Facultad de Ciencias Universidad Autonoma de San Luis Potosí (UASLP) San Luis Potosi Mexico.;Department of Biostatistics and Informatics, Colorado School of Public Health University of Colorado Anschutz Medical Campus Colorado USA. ^[1] Facultad de Ciencias Universidad Autonoma de San Luis Potosí (UASLP) San Luis Potosi Mexico. ^[2] Institute for Applied Microelectronics (IUMA) University of Las Palmas de Gran Canaria Las Palmas de Gran Canaria Spain. ^[3] Department of Pathological Anatomy University Hospital Doctor Negrin of Gran Canaria Las Palmas de Gran Canaria Spain. ^[4]

关键词 biomedical optical imaging image classification learning (artificial intelligence)medical image processing neural nets

DOI 10.1049/htl2.12084

PMID 39100499

发布时间 2024-08-06

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Healthcare technology letters

2024年11卷4期

240-251页

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Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks.

Healthcare technology letters

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Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks.

Healthcare technology letters

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Healthcare technology letters

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