Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...
AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here’s how to adapt security.
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
YOLOv8-Seg: a deep learning approach for accurate classification of osteoporotic vertebral fractures
A dataset of 673 CT images from patients admitted between March 2013 and May 2023 was collected and classified according to the European Vertebral Osteoporosis Study Group (EVOSG) system. Of these, ...
Abstract: Glaucoma is one of the leading causes of blindness worldwide and is characterized by progressive visual field loss due to optic nerve damage. Early detection is fundamental, yet it is often ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.
We present a computer-aided diagnosis (CAD) model for colorectal lesion classification using narrow-band imaging endocytoscopy (EC-NBI). Inspired by progressive pre-training strategies in large ...
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