Hand posture estimation attracts researchers because of its many applications. Hand posture recognition systems simulate the hand postures by using mathematical algorithms. Convolutional neural networks have provided the best results in the hand posture recognition so far. In this paper, we propose a new method to estimate the hand skeletal posture by using deep convolutional neural networks. T...

We propose a novel approach for generating high quality visible-like images from Synthetic Aperture Radar (SAR) images using Deep Convolutional Generative Adversarial Network (GAN) architectures. The proposed approach is based on a cascaded network of convolutional neural nets (CNNs) for despeckling and image colorization. The cascaded structure results in faster convergence during training and...

This article presents a multiscale patch based convolutional neural network for the automatic segmentation of brain tumors in multimodality 3D MR images. We use multiscale deep supervision and inputs to train a convolutional network. We evaluate the effectiveness of the proposed approach on the BRATS 2017 segmentation challenge [1, 2, 3, 4] where we obtained dice scores of 0.755, 0.900, 0.782 a...

<span>Smart imaging-based medical classification systems help the human diagnose diseases and make better decisions about patient health. Recently, computer-aided of skin has been a popular research area due to its importance in early detection diseases. This paper presents at core, system that exploits convolutional neural networks classify color images lesions. It relies on pre-trained ...

Coronavirus disease 2019 (Covid-19) is a life-threatening infectious caused by newly discovered strain of the coronaviruses. As end 2020, Covid-19 still not fully understood, but like other similar viruses, main mode transmission or spread believed to be through droplets from coughs and sneezes infected persons. The accurate detection cases poses some questions scientists physicians. two kinds ...