The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
IEEE

Development of a Face Mask Type Detection with Multiclass Classification Using Artificial Intelligence on Python

Abstract: This research presents a system based on a machine learning system with artificial intelligence. The approach presented uses a camera to detect people who are not wearing face masks and it ...
Frontiers

Corrigendum: Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning

In the original article, there were errors in the Abstract section, page 1. The sentences “Our results show that accuracies of our solution are similar to classical convolutional neural networks with ...
ascopubs.org

Natural Language Processing Approaches for Automated Multilevel and Multiclass Classification of Breast Lesions on Free-Text Cytopathology Reports

The extensive growth and use of electronic health records (EHRs) and extending medical literature have led to huge opportunities to automate the extraction of relevant clinical information that helps ...
GitHub

Overview of theory and common techniques for classification problems.

Use git clone to get a copy of this repository. Binary classification refers to those classification tasks that have two class labels, such as email spam detection (spam or not). Typically, binary ...