Buscar
Mostrando ítems 1-8 de 8
Ponencia
Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI
(ScitePress Digital Library, 2019)
Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, it is detected through MRI and then either a treatment is applied, or it is removed through ...
Artículo
TPU Cloud-Based Generalized U-Net for Eye Fundus Image Segmentation
(IEEE Computer Society, 2019)
Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on these images as a cloud-based service we need to train with multiple datasets to increase the ...
Ponencia
Polyp Detection in Gastrointestinal Images using Faster Regional Convolutional Neural Network
(ScitePress Digital Library, 2019)
Colorectal cancer is the third most frequently diagnosed malignancy in the world. To prevent this disease, polyps, the principal precursor, are removed during a colonoscopy. Automatic detection of polyps in this technique ...
Ponencia
Localización e identificación automática de pólipos mediante una red neuronal convolucional por regiones
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
Este trabajo expone la metodología llevada a cabo para la aplicación de un modelo Deep Learning con el fin de detectar pólipos de forma automática, así como su posición en videos de colonoscopia. Se plantearon diferentes ...
Ponencia
Deep learning glaucoma diagnosis aid
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
El glaucoma es una de las principales causas de ceguera. Cambia la morfología del nervio óptico. La copa es la región central del disco óptico. El CDR (relación del diámetro de la copa y el disco) es un indicador del ...
Ponencia
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices
(ScitePress Digital Library, 2019)
Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ubiquitous tool for monitoring and alert when these events happen. Recurrent Neural Networks (RNN) are ...
Ponencia
Multi-dataset Training for Medical Image Segmentation as a Service
(ScitePress Digital Library, 2019)
Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a great extent on the data sets used to train the used network. Nowadays many cloud service providers ...
Ponencia
Deep learning as a tool for improving efficiency the of glial tumor diagnosis
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
La aplicación de técnicas basadas en Inteligencia Artificial como apoyo a la detección y diagnosis de cáncer mediante imagen es una práctica muy extendida hoy día. Además, el reconocimiento por regiones de interés y otros ...