Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment.

The intricate nature of lung cancer treatment poses considerable challenges upon diagnosis. Early detection plays a pivotal role in mitigating its escalating global mortality rates. Consequently, there are pressing demands for robust and dependable early detection and diagnostic systems.

Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment.

. This paper aims to propose an advanced methodology for assessing lung nodules using automated techniques with computed tomography (CT) images to detect lung cancer at an early stage..

Noninvasive Diagnostic Methods for Better Screening of Peripheral Arterial Disease.

Background: Peripheral arterial disease (PAD) is a common circulatory problem in which narrowed arteries reduce blood flow to extremities, usually legs. It does not receive enough blood flow to keep up with demand. This causes symptoms, most notably leg pain while walking which is known as claudication.