Farmers rely on leaf area data for crop health, yield, and efficient resource management. A new open-source computer vision ...

Segmentation tools help doctors identify and delineate tumors, lesions, and other abnormalities in medical images.

In July 2015, Sen, Nima Kalantari, then an ECE PhD student, and fellow PhD student Steve Bako published a paper with their solution: applying machine learning, a nascent approach at the time, to speed ...

Pooyan Rahmanzadehgervi, a doctoral student in the Department of Computer Science and Software Engineering, was lead author on research accepted for publication in “Nature Communications AI & ...

With the growing prevalence of artificial intelligence (AI), demand increases for hardware that mimics the brain’s ability to ...

The AFN-DeSeg deep learning framework improves two-photon autofluorescence microscopy, enabling clearer visualization of ...

Rising cancer cases and pathologist shortages drive AI pathology adoption, creating opportunities in cloud diagnostics, telepathology, precision oncology, automated imaging and decision support.

This project uses real time semantic segmentation combined with object tracking for ADAS applications using Ultralytics YOLO ...

The analysis of spot-like structures is a widespread task in microscopy image analysis. Existing solutions are typically ...

According to MarketsandMarkets, the Medical Image Analysis Software Market is projected to reach USD 6.42 billion by 2031 from USD 4.35 billion ...

According to MarketsandMarkets™, the Medical Image Analysis Software Market is projected to reach USD 6.42 billion by 2031 ...

The global AI in Computer Vision Market was valued at USD 23.42 billion in 2025 and is projected to reach USD 63.48 billion ...