Mostrando 7 resultados de: 7
Filtros aplicados
Publisher
Computer Methods and Programs in Biomedicine(1)
Computer Science and Information Systems(1)
IET Computer Vision(1)
IET Image Processing(1)
International Journal of Pattern Recognition and Artificial Intelligence(1)
Área temáticas
Ciencias de la computación(7)
Enfermedades(2)
Métodos informáticos especiales(2)
Funcionamiento de bibliotecas y archivos(1)
Física aplicada(1)
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network
Conference ObjectAbstract: Automatic detection and classification of the masses in mammograms are still a big challenge and plaPalabras claves:Breast Cancer, Computer Aided Diagnosis, deep learning, Mass Detection and Classification, YOLOAutores:Al-Antari M.A., Al-Masni M.A., Edwin Valarezo Anazco, Gi G., Han S.M., Kim T.S., Kim T.Y., Park J.M., Rivera P.Fuentes:googlescopusAn Integrated ARMA-Based Deep Autoencoder and GRU Classifier System for Enhanced Recognition of Daily Hand Activities
ArticleAbstract: Recognition of hand activities of daily living (hand-ADL) is useful in the areas of human-computer iPalabras claves:Autoregressive processes, cnn, deep learning, hand activity recognition, rnn, wearable sensorsAutores:Edwin Valarezo Anazco, Kim T.S., Rivera P.Fuentes:googlescopusHand gesture recognition using single patchable six-axis inertial measurement unit via recurrent neural networks
ArticleAbstract: Recording human gestures from a wearable sensor produces valuable information to implement control gPalabras claves:Control gestures, Hand gesture recognition, Patchable IMU, Recurrent Neural Network, Six-axis inertial sensorAutores:Edwin Valarezo Anazco, Han S.J., Kim K., Kim T.S., Lee S., Rivera P.Fuentes:googlescopusHuman activities recognition with a single writs imu via a variational autoencoder and android deep recurrent neural nets
ArticleAbstract: Human Activity Recognition (HAR) is an active research field because of its versatility towards variPalabras claves:Android Deep Recurrent Neural Networks, Denoising Autoencoder, Human activity recognition, Mobile applicationAutores:Edwin Valarezo Anazco, Kim T.S., Park H., Park N., Rivera P.Fuentes:googlescopusTrilateral convolutional neural network for 3D shape reconstruction of objects from a single depth view
ArticleAbstract: In this study, the authors propose a novel three-dimensional (3D) convolutional neural network for sPalabras claves:Autores:Choi M.T., Edwin Valarezo Anazco, Kim T.S., Rivera P.Fuentes:googlescopusSimultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
ArticleAbstract: Background and objective: Automatic detection and classification of the masses in mammograms are stiPalabras claves:Breast Cancer, Computer Aided Diagnosis, deep learning, Mass Detection and Classification, You Only Look Once (YOLO)Autores:Al-Antari M.A., Al-Masni M.A., Choi M.T., Edwin Valarezo Anazco, Gi G., Han S.M., Kim T.S., Kim T.Y., Park J.M., Rivera P.Fuentes:googlescopusThree-dimensional shape reconstruction of objects from a single depth view using deep U-Net convolutional neural network with bottle-neck skip connections
ArticleAbstract: Three-dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruPalabras claves:Autores:Edwin Valarezo Anazco, Kim T.S., Rivera Lopez P.Fuentes:scopus