Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...

+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 ...

Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

President Trump said CNN should have new owners as its parent company, Warner Bros. Discovery, weighs takeover bids from Netflix and Paramount. Photo: Alex Wong/Getty Images President Trump told ...

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Oct 31 (Reuters) - Perplexity will display pictures from Getty Images across its AI search and discovery tools under a multi-year deal that sent the visual content company's shares (GETY.N), opens new ...

A new Apple research paper argues that AI imaging editors are currently trained on inadequate image sets — so Apple Intelligence researchers have released an improved one. Now the researchers have ...