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Proceedings of SPIE - The International Society for Optical Engineering(8)
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Colors vision effect: Learning and teaching strategies based on reading nature images
Conference ObjectAbstract: The present work shows the teaching and motivation of University students to think about optics andPalabras claves:Color test, Color vision, Optics, SunsetsAutores:A. Sánchez-Juárez, Castillo P., César W. Granda, Luis Alberto Cuenca Macas, Vivanco-Galván O., Yuliana Jiménez-GaonaFuentes:scopusAssessment of mesial temporal sclerosis through MRI processing
Conference ObjectAbstract: Mesial temporal sclerosis (MTS) is the principal cause of complex epilepsy, is manifested principallPalabras claves:brain MRI, Epilepsy, Hippocampal volume, Machine learning, Mesial temporal sclerosisAutores:Andrés Sánchez, Castillo P., Darwin Patricio Castillo Malla, J. Carrión, René J. Samaniego, Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:googlescopusDeep‐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:scopusDemyelinating and ischemic brain diseases: Detection algorithm through regular magnetic resonance images
Conference ObjectAbstract: This work presents the advance to development of an algorithm for automatic detection of demyelinatiPalabras claves:Brain disease, Demyelinating, IMAGE PROCESSING, ischemia, MRIAutores:Castillo P., Luis Alberto Cuenca Macas, René J. Samaniego, Rodríguez‐álvarez M.J., Vivanco-Galván O., Yuliana Jiménez-GaonaFuentes:googlescopusDenseNet 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:googlescopusArtificial Intelligence in Neuroeducation: The Influence of Emotions in the Learning Science
Conference ObjectAbstract: Teaching is considered an emotional practice, in which emotions play a vital role in the cognitive aPalabras claves:Artificial Intelligence, emotions, face recognition, Learning, NeuroeducationAutores:Castillo P., Marco Jiménez, Torres-Carrion Pablo Vicente, Vivanco-Galván O., Yuliana Jiménez-GaonaFuentes:scopusMTS image analyzer: A software tool to identify mesial temporal sclerosis in MRI images
Conference ObjectAbstract: Epilepsy is a chronic neurological disorder that causes unprovoked and recurrent seizures which accoPalabras claves:3D ROI, brain MRI, Epilepsy, Hippocampal volume, Mesial temporal sclerosis, Texture analysis, Texture featuresAutores:Castillo P., J. Macas, Lakshminarayanan V., Patricia Diáz, René J. Samaniego, Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:scopusMachine Learning Model for the Pbkp_rediction of Emotions in a Mobile Application
Conference ObjectAbstract: Emotional intelligence is a transversal axis in the integral development of the person. As a variablPalabras claves:emotions, Machine learning, pbkp_redictionAutores:Carlos Vicente-Tene, Castillo P., Darwin Patricio Castillo Malla, Torres-Carrion Pablo Vicente, Yuliana Jiménez-GaonaFuentes:googlescopusImmersive and Collaborative learning: An educational resource for mathematical training in medicine
Conference ObjectAbstract: Advances in molecular biology and medicine are generating new technologies and opportunities, wherePalabras claves:collaborative learning immersive learning augmented reality, educational technology, mathematical innovationAutores:Darwin Castillo Malla, Irene Carrillo-Mayanquer, Yadira Ludena Gonzalez, Yuliana Jiménez-GaonaFuentes:scopusRadiomics 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