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Conference Object(3)
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2022(3)
Brain Tumor Segmentation Based on 2D U-Net Using MRI Multi-modalities Brain Images
Conference ObjectAbstract: Glioblastoma is the most common malignant primary brain tumor, making up approximately 80% of all maPalabras claves:Brain tumor segmentation, BraTS dataset, glioma, Multimodal MRI, U-netAutores:Andrés Tirado-Espín, Cadena-Morejón C., Daniela Tene-Hurtado, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Omar Santiago Alvarado Cando, Orozco-López O., Salazar V.H.Fuentes:googlescopusDiabetic Retinopathy: Detection and Classification Using AlexNet, GoogleNet and ResNet50 Convolutional Neural Networks
Conference ObjectAbstract: Diabetic retinopathy (DR) is an ocular condition developed in diabetes patients. This eye disease isPalabras claves:accuracy, cnn, Diabetic Retinopathy, Metrics classificationAutores:Andrés Tirado-Espín, Cadena-Morejón C., Cristina Chuya-Sumba, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Graciela M. Salum, Jhonny Caicho, Nicole Jara, Omar Santiago Alvarado CandoFuentes:googlescopusCOVID-19 Pulmonary Lesion Classification Using CNN Software in Chest X-ray with Quadrant Scoring Severity Parameters
Conference ObjectAbstract: The Sars-Cov2 virus has caused the worst health emergency of the last decade. Furthermore, new straiPalabras claves:Chest X-ray, cnn, covid-19, Lung lesion, Machine learning, U-netAutores:Alejandro B. Lojan, Andrés Tirado-Espín, Daniel A. Amaguaña, Denisse N. Niles, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Graciela M. Salum, Noboa-Jaramillo A., Omar Santiago Alvarado CandoFuentes:googlescopus