WebNov 11, 2024 · Polar maps were post-processed (GE Healthcare Xeleris®) and exported in.tiff format with matrix size 175 x 175. So, we generated 02 polar maps (stress/rest) for female patients and 03 (stress/rest/prone) for male patients. We did not use the clinical data for the ML algorithms, but the image attributes such as pixel position and intensity. WebDespite the above limitations, the results of the present work reveal the possible applications of deep learning for polar map images classification in SPECT myocardial perfusion imaging. These findings suggest that our approach can be a promising alternative to routine polar map analysis using normal databases to further support the clinical ...
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WebJun 30, 2024 · Deep learning (DL) alludes to a variety of methods belonging to the broader domain of machine learning (ML) and artificial intelligence (AI). DL has adjusted its … WebNov 11, 2024 · The idea was to assess the ML model (in case, deep learning) to distinguish between two different outcomes: cardiac … didn\u0027t cha know youtube
Classification of ischemia from myocardial polar maps in 15O …
WebMay 1, 2024 · The deep-learning network (MACE-DL) was developed with polar map image inputs of raw perfusion and gated derived maps of motion, thickening, phase angle and … WebAbstract. Objective: The exploration and the implementation of a deep learning method using a state-of-the-art convolutional neural network for the classification of polar maps represent myocardial perfusion for the detection of coronary artery disease. Subjects and methods: In the proposed research, the dataset includes stress and rest polar ... WebDec 15, 2024 · Purpose: This study aimed to investigate the diagnostic accuracy of deep convolutional neural networks for classifying the polar map images in Single-photon … didnt pass the bar crossword clue