A mix of beginner and advanced-level books to suit various learning needs. Each book blends theory with practical code examples for real-world application. All selections are currently available in ...

Abstract: Accurate segmentation of kidney ultrasound (KUS) images is essential for various diagnostic procedures. However, challenges such as variability in image quality and the need for real-time ...

DHS shared the image after announcing an Indiana ICE detention center. IndyCar said they were not aware of the Department of Homeland Security (DHS) plan to release an AI-generated image of an IndyCar ...

There was an error while loading. Please reload this page. Requirements and Installations Before we start coding, let’s ensure Python (3.6 or later) is installed on ...

1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China 2 Institute for Complexity Science, Henan University of Technology, Zhengzhou, China Tongue is ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...

Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become ...

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...

Over the past decade, advances in deep learning (DL) have significantly transformed the landscape of biomedical image segmentation and analysis. The state-of-the-art in several domains has been ...

Imagine if you could hide a secret message within a photo, and no one could tell by just looking at it. This is the magic of steganography—a powerful technique that allows us to embed secret ...