Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

+This project focuses on building a Convolutional Neural Network (CNN) using Keras (TensorFlow backend) to classify images into two categories: Dog and Cat. + +The objective is to learn meaningful ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

Abstract: Histopathology is crucial for diagnosing many diseases as early as possible, especially cancer. It involves looking at tissue samples under a microscope and checking if something is wrong.

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. By mid-October, the Democrats’ chances ...

CNN has named prediction market operator Kalshi as its official data partner, giving the network access to real-time probabilities across political, cultural, and economic events as interest in market ...

A federal appeals court upheld the dismissal of President Donald Trump’s defamation lawsuit against CNN, specifically noting that the network’s use of the phrase “Big Lie” to describe Trump was not a ...

I’d like to propose adding support for inbuilt data loading of image-based datasets in PyDeepFlow, starting with the MNIST dataset. Currently, the datasets.py file includes built-in loaders for ...