A pulmonary embolism (PE) occurs when a blood clot in the lungs produces an unexpected occlusion of a blood artery in the lungs. PE is a life-threatening illness that should be caught as soon as possible. This research provides a novel approach for detecting PE in contrast-enhanced CT images. Computed tomography is the most used method for gathering images in order to diagnose PE (CT). It's a quick test that yields high-resolution photographs with more contrast and multi-sliced images. Candidate identification, feature calculation, and classification are all part of the system. The major aims of candidate detection are to include PE even with total occlusions and to reduce erroneous tissue and parenchymal illness diagnosis. When defining characteristics, the location and structure of the pulmonary vascular tree, as well as the severity, form, and size of an embolus, are all taken into account. The ability of the CAD tool to detect emboli in the pulmonary Arterial Tree (PAT) sectional and sub sectional was studied.
M. Sucharitha,
Department of ECE, Malla Reddy College of Engineering and Technology, Hyderabad-500100, India.
M. Mohammed Mohaideen,
Department of Aeronautical Engineering, Malla Reddy College of Engineering and Technology, Hyderabad-500100, India.
P. H. V. Sesha Talpa Sai,
Department of Mechanical Engineering and Dean- R & D, Malla Reddy College of Engineering and Technology, Hyderabad-500100, India.
Please see the link here: https://stm.bookpi.org/RDST-V7/article/view/7074
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