Mostrando 4 resultados de: 4
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Publisher
Proceedings of SPIE - The International Society for Optical Engineering(2)
Applied Sciences (Switzerland)(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
Objetivos de Desarrollo Sostenible
ODS 10: Reducción de las desigualdades(2)
ODS 3: Salud y bienestar(2)
ODS 9: Industria, innovación e infraestructura(2)
Deep‐learning‐based computer‐aided systems for breast cancer imaging: A critical review
ReviewAbstract: This paper provides a critical review of the literature on deep learning applications in breast tumoPalabras claves:Breast Cancer, Computer‐aided diagnosis, convolutional neural networks, deep learning, Mammography, UltrasoundAutores:Lakshminarayanan V., Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:scopusDenseNet for Breast Tumor Classification in Mammographic Images
Conference ObjectAbstract: Breast cancer screening is an efficient method to detect breast lesions early. The common screeningPalabras claves:Breast tumor classification, Convolutional neural network, deep learning, DenseNet, Mammography, RoI alignAutores:Castillo P., Espino-Morato H., 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: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:googlescopus