Mostrando 4 resultados de: 4
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Densenet for breast tumor classification in mammographic images
OtherAbstract: Breast cancer screening is an efficient method to detect breast lesions early. The common screeningPalabras claves:Autores:Darwin Patricio Castillo MallaFuentes:googleRadiomics Diagnostic Tool Based on Deep Learning for Colposcopy Image Classification
ArticleAbstract: Background: Colposcopy imaging is widely used to diagnose, treat and follow-up on premalignant and mPalabras claves:cervical coloscopy, deep learning, lesion classification, UnetAutores:Bernardo Vega-Crespo, Castillo P., Darwin Patricio Castillo Malla, María José Vicuña, Santiago Dávila, Verhoeven V., Vivian-Alejandra Neira, Yuliana Jiménez-GaonaFuentes:googlescopusPreprocessing fast filters and mass segmentation for mammography images
Conference ObjectAbstract: Digital mammography is a valuable technique for breast cancer detection, because it is safe, noninvaPalabras claves:Breast Cancer, contrast enhancement, Filters, Mammogram, Preprocessing, segmentationAutores:Castillo P., Darwin Patricio Castillo Malla, Jimmy Freire, Lakshminarayanan V., Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:googlescopusMagnetic resonance brain images algorithm to identify demyelinating and ischemic diseases
Conference ObjectAbstract: Brain demyelination lesions occur due to damage of the myelin layer of nerve fibers, this deterioratPalabras claves:Brain disease, Demyelinating, IMAGE PROCESSING, ischemia, MRIAutores:Castillo P., Darwin Patricio Castillo Malla, Luis Alberto Cuenca Macas, Oscar Vivanco-Galván, René J. Samaniego, Rodríguez‐álvarez M.J., Vivanco-Galván O., Yuliana Jiménez-GaonaFuentes:googlescopus