New Findings from Autonomous University in the Area of Breast Cancer Screening Described (An Improved Object Detection Algorithm Based On the Hessian Matrix and Conformable Derivative).

A new research study from the Autonomous University in Morelos, Mexico, has developed an improved object detection algorithm for breast cancer screening. The algorithm combines the Khalil conformable derivative and the Hessian matrix to enhance image quality and accuracy in identifying breast cancer. The research found that the algorithm provides better visual identification of conditions such as breast cancer, calcifications, and cerebral arteriovenous malformations, improving the accuracy of clinical diagnosis and subsequent monitoring. The study has been peer-reviewed and offers potential applications in medical image processing and analysis. [Extracted from the article]