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- W2023340410 abstract "Information retrieval from Coronary Computed Tomography Angiography (CCTA) is the most frequently used tool by physicians to diagnose cardiac diseases. However, the use of Coronary Computed Tomography Angiography in this context is quite rare. We have introduced a novel approach to detect severity of cardiac diseases using CCTA images. The proposed technique consists of multiple steps algorithm which extracts blood vessels from CCTA images of patients to analyze disease symptoms. The major steps are: Pre-processing, Multilayered thresholding and centerline extraction. The proposed technique has been tested on dataset containing fifty images collected from different hospitals located in different cities. The results obtained are highly encouraging; we could achieve 92% accuracy." @default.
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- W2023340410 date "2014-01-01" @default.
- W2023340410 modified "2023-09-24" @default.
- W2023340410 title "Blood Vessel Segmentation and Centerline Extraction based on Multilayered Thresholding in CT Images" @default.
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- W2023340410 doi "https://doi.org/10.12792/icisip2014.081" @default.
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