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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:googlescopusNon-local means filter denoising for DEXA images
Conference ObjectAbstract: Dual high and low energy images of Dual Energy X-ray Absorptiometry (DEXA) suffer from noises due toPalabras claves:DEXA Images, DEXA Noise Modeling, Non-local Means Filter (NLMF)Autores:Al-Antari M.A., Al-Masni M.A., Edwin Valarezo Anazco, Gi G., Han S.M., Hussain D., Kim T.S., Kim T.Y., Metwally M., Park J.M., Park S.J., Rivera P., Shin J.S.Fuentes:googlescopusHuman activity recognition using a single wrist IMU sensor via deep learning convolutional and recurrent neural nets
OtherAbstract: In this paper, the authors aimed to propose novel deep learning-based HAR systems with a single wrisPalabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleRecognition of human hand activities based on a single wrist imu using recurrent neural networks
OtherAbstract: Recognition of hand activities could provide new information towards daily human activity logging anPalabras claves:Autores:Edwin Valarezo AnazcoFuentes:google