Convolutional Neural Networks (CNNs) are considered the state-of-the-art in computer vision tasks, being able to surpass human performance in certain applications. The use of this technology in medical applications for automated or aided diagnosis of diseases is promising, especially in radiotherapy- based images. One of the most deadly diseases, Pneumonia, can be diagnosed from chest x-ray images...Show More
The exponentially growing of generated data and the advanced computing techniques, catalyzed the necessity of innovative strategies to store, analyze and capture biological data. The biocuration was created due to the number and scope of scientific databases in recent years. Biocuration is an essential part of biological and biomedical research discovery. Extracted from the literature, curated dat...Show More
Convolutional Neural Networks (CNN) are considered the gold standard for Computer Vision Problems. However, finding the best architecture for CNN often requires handcrafted design and domain knowledge. On the other hand, Genetic Algorithms (GAs) have proven to be an efficient technique to optimize a wide range of problems. Thus, in this paper, we propose the gaCNN, a hybrid classification architec...Show More
