Khadija Azhar

Semiautomated breast ultrasound report generation using multimodal large language models and deep learning

Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, SeungJae Lee et autres

Introduction: Breast ultrasound (US) imaging is essential for early breast cancer detection, yet generating diagnostic reports is labor-intensive, particularly when incorporating multimodal elastography. Methods: This study presents a novel framework that combines multimodal large language models and deep learning to generate semiautomated …

kr (code pays fourni par la source)

AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis

Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho et autres

Breast cancer is the most prevalent cancer among women worldwide. B-mode ultrasound (US) is essential for early detection, offering high sensitivity and specificity without radiation exposure. This study introduces a semi-automatic method to streamline breast US report generation, aiming to reduce the …

kr (code pays fourni par la source)

Biotechnological Techniques for Sustainable Waste Management

Mujahid Farid, Sheharyaar Farid, Muhammad Arslan Aslam, Khadija Azhar et autres

pk, ie, es, th (code pays fourni par la source)