C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China Objectives: This ...
GitHub

Pull requests: sameekshya1999/Sleep-Stage-Classification-Using-Deep-Learning-CNN-vs.-EEGNet ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
IEEE

Efficient Document Image Classification Using Deep Learning Enhance with CNN Architectures

Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
GitHub

Pull requests: imdhilipkumar/Brain-Tumor-Classification-Using-Deep-Learning-CNN-

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
Frontiers

Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by ...

Introduction: A novel classification scheme for endplate lesions, based on T2-weighted images from magnetic resonance imaging (MRI) scan, has been recently introduced and validated. The scheme ...