Abstract: In recent years, deep learning has been widely utilized in the fields of biomedical image segmentation and cellular image analysis. Supervised deep neural networks trained on annotated data ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

Since March 2025, ChatGPT has been capable of generating images. Following a period where it briefly wasn't available to free users, you now don't even pay for one of OpenAI's subscriptions to use ...

GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...

The MIAC Automated Region Segmentation (MARS) for lateral ventricles is a state-of-the-art, deep learning-based segmentation tool. This repository includes ready-to-use, pre-built container image ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

Abstract: An essential task in geospatial analysis is accurately segmenting land cover from high-resolution aerial images, which supports applications including the management of resources, urban ...

DeepSeek, even though it is relatively new, has made quite a mark in the artificial intelligence market. With the help of Janus-Pro-7B, DeepSeek is making waves in the field of image generation. By ...