Both models act on screening mammography exams with four standard views (L-CC, R-CC, L-MLO, R-MLO). As a part of this repository, we provide 4 sample exams (in sample ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

A new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training scheme of a neural network, and manages to obtain better results – and better ...

Abstract: Waste management in the recycling business is a time-consuming and labor-intensive process. In this context, the need to improve accuracy and reduce the time associated with this process is ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) is a ...

A whistle stop tour of how to use the latest image classification techniques to build and understand a deep neural network bird classifier This is an investigation using PyTorch CNNs of deep image ...

Wheat blast is a threat to global wheat production, and limited blast-resistant cultivars are available. The current estimations of wheat spike blast severity rely on human assessments, but this ...

Dr. James McCaffrey of Microsoft Research continues his examination of creating a PyTorch neural network binary classifier through six steps, here addressing step No. 4: training the network. The goal ...