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Objectives: Non-contrast MRI(NC-MRI) is an attractive option for liver tumors screening and follow-up. This study aims to develop and validate a deep convolutional neural network for the ...

1 National Engineering School of Sfax (ENIS), University of Sfax, Sfax, Tunisia 2 Multimedia, Information Systems and Advanced Computing Laboratory (MIRACL), University of Sfax, Sfax, Tunisia ...

classify.py is the main python file that trains the model to recognise different types of bears by learning from images We use a neural network (CNN) here to look at 50-100 images of each type of bear ...

A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...

Abstract: Heart disease detection from medical images such as X-rays, CT scans, and MRIs is a critical task in the healthcare industry. In this proposed work, we explore the application of ...

Abstract: White Blood Cell (WBC) count is a significant task in identifying leukemia, a widely known malignancy that can be devastating gradually. Infantile WBCs existing in the sponge tissues of bone ...