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

XGBoosted Binary CNNs for Multi-Class Classification of Colorectal Polyp Size

Abstract: Colorectal cancer (CRC) is marked by the development of tumors/outgrowths known as polyps. AI-assisted endoscopy is inevitable in the modern world for better and more efficient polyp ...
Forex Factory

Introduction Guide to Binary Options – Pros, Cons and Examples

Binary options are a new and popular type of investment vehicle among traders mainly because of the simplicity. Similarly to vanilla options, binary options allow a trader to trade on the future price ...
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 ...
GitHub

3D_image_classification.py

Description: Train a 3D convolutional neural network to predict presence of pneumonia. This example will show the steps needed to build a 3D convolutional neural network (CNN) to predict the presence ...
IEEE

Binary Classification Using Neural and Clinical Features: An Application in Fibromyalgia With Likelihood-Based Decision Level Fusion

Abstract: Among several features used for clinical binary classification, behavioral performance, questionnaire scores, test results, and physical exam reports can be counted. Attempts to include ...