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scopus(9)
Deep learning-based classification of visual symptoms of bacterial wilt disease caused by Ralstonia solanacearum in tomato plants
ArticleAbstract: Classification of plant diseases based on computer vision is a multidisciplinary challenge that invoPalabras claves:convolutional neural networks, Deep learning, image classification, RALSTONIA SOLANACEARUM, TomatoAutores:Cheein F.A.A., Ingrid Nicole Vásconez, Juan Pablo Vasconez, M. Valenzuela, Mailyn Calderon-Diaz, Seeger M., Viviana Moya, X. BesoainFuentes:scopusDeep Learning based flower detection and counting in highly populated images: A peach grove case study
ArticleAbstract: Farmers and producers need to estimate crop yield in order to plan and allocate human and economic rPalabras claves:Deep learning, Density maps, High-density images, Peach flower counting, YOLO detectionAutores:Cheein F.A.A., Juan Pablo Vasconez, Longsheng Fu, Sebastián EstradaFuentes:scopusArtificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions
ReviewAbstract: Colorectal cancer (CRC) was the second-ranked worldwide type of cancer during 2020 due to the crudePalabras claves:Artificial intelligence, Colorectal cancer, Colorectal polyps, Deep learning, Machine Learning, Medical imagesAutores:Bustos J.T., Cheein C.A., Cheein F.A.A., Javier Torres Bustos, Michelle Viscaíno, Muñoz P., Pablo MuñozFuentes:scopusColor Dependence Analysis in a CNN-Based Computer-Aided Diagnosis System for Middle and External Ear Diseases
ArticleAbstract: Artificial intelligence-assisted otologic diagnosis has been of growing interest in the sci-entificPalabras claves:Artificial intelligence, Convolutional neural network, Deep learning, middle and external ear, otologyAutores:Cheein C.A., Cheein F.A.A., Delano P.H., Henríquez P., Maass J.C., Michelle Viscaíno, Talamilla M.Fuentes:scopusComputer-Aided Ear Diagnosis System Based on CNN-LSTM Hybrid Learning Framework for Video Otoscopy Examination
ArticleAbstract: Ear disorders are among the most common diseases treated in primary care, with a high percentage ofPalabras claves:Computer Aided Diagnosis, Convolutional neural network, Deep learning, ear diseases, LSTM, otolaryngology, Transfer learningAutores:Cheein F.A.A., Delano P.H., Maass J.C., Michelle ViscaínoFuentes:scopusIntegrative Nutritional Assessment of Avocado Leaves Using Entropy-Weighted Spectral Indices and Fusion Learning
ArticleAbstract: Accurate and non-destructive assessment of plant nutritional status remains a key challenge in preciPalabras claves:avocado leaves, Data fusion, Deep learning, Spectral Analysis, vegetation indicesAutores:Cheein F.A.A., Marcelo Pereyra, Redmond R. Shamshiri, Sebastián Estrada, Xingfeng Guo, Zhen GuoFuentes:scopusBand-selection in spectroscopy information for vegetation health monitoring using explainable models
OtherAbstract: Health monitoring of vegetation can be achieved through the use of hyperspectral cameras and spectroPalabras claves:Deep learning, explainable ai, plant health monitoring, vegetation indicesAutores:Cheein F.A.A., Sebastián EstradaFuentes:scopusPotato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends
ReviewAbstract: Globally, potatoes are the fourth most produced food crop, and in the United Kingdom alone, they genPalabras claves:agriculture, Artificial intelligence, Deep learning, Machine Learning, Phenotype, potato, Remote SensingAutores:Cheein F.A.A., Ciarán Miceal Johnson, Sebastián EstradaFuentes:scopusWater Content Classification on Leaves Based on Multi-Spectral Imagery and Machine Learning Techniques for Wildfire Prevention
OtherAbstract: Leaves with lower water content serve as fuel, increasing the risk of wildfires. Identifying such lePalabras claves:Deep learning, leaf water content, Multi-spectral imagesAutores:Cheein F.A.A., Fuentes A., Matias Zañartu, Rodrigo Demarco, Sebastián EstradaFuentes:scopus