Segmentation and classification of noisy thermographic images as an aid for identifying risk levels of breast cancer

DOI10.1007/978-3-030-35445-9_21OpenAlexW3008092733MaRDI QIDQ1982080

Jorge Castro-Ramos, Juan Manuel Ramirez-Cortes, Pilar Gomez-Gil, V. Alarcón Aquino, Daniela Reynoso-Armenta

Publication date: 7 September 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-35445-9_21

zbMATH Keywords

classificationimage processingbreast cancerthermographydeep convolutional neural networks (CNN)regions-CNN

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

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