Mostrando 3 resultados de: 3
Filtros aplicados
Publisher
Applied Sciences (Switzerland)(1)
Diagnostics(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(1)
ODS 3: Salud y bienestar(1)
ODS 9: Industria, innovación e infraestructura(1)
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:googlescopusRadiomics 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:googlescopus