The integration of imaging and artificial intelligence has radically transformed the landscape of radiotherapy, positioning advanced imaging modalities such ...

Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended ...

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 ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Abstract: Medical image processing is now the most demanding and expanding field. It is widely used for brain tumor detection and segmentation at healthcare settings and research labs. In this ...

During a livestream on Tuesday, OpenAI CEO Sam Altman announced the first major upgrade to ChatGPT’s image-generation capabilities in over a year. ChatGPT can now leverage the company’s GPT-4o model ...

ABSTRACT: In this paper, we present a new approach to the detection of Sea Breeze Fronts (SBF) in the Gulf of Guinea using automated methods. The study focuses on southern West Africa, where SBFs play ...