Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

New research from FIU shows that some visual-language AI models have become particularly susceptible to image-based hacks.

It may look like a picture of a panda bear to you, but to your business's AI agent, it can act like a skeleton key, bypassing ...

To make a successful return on their investment, growers need to accurately predict how much crop they might grow in a given ...

University of Florida researchers are developing smart tech tools (PhenoSnap and PhenoSeg) to help strawberry and tomato ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

BELFAST, Northern Ireland--(BUSINESS WIRE)--Axial3D, a leader in medical segmentation and 3D solutions, today announced that it is the first to receive FDA clearance for an automated, AI-driven, cloud ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

The OVMed® ISP OH0131 features advanced image algorithms to optimize brightness, contrast, saturation, hue and sharpness, along with advanced noise reduction capabilities OMNIVISION, a leading global ...

Abstract: Due to more or less deviations in the imaging system, there will be noise in the image, which makes the image segmentation inaccurate. To divide a natural image into a more accurate binary ...

Abstract: Image encryption is an effective technology to protect digital image confidentiality. This paper presents an image segmentation encryption algorithm based on a hybrid chaotic system. First, ...