Obverse
发表于 2025-3-25 04:32:51
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corn732
发表于 2025-3-25 09:51:14
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overreach
发表于 2025-3-25 15:37:41
Introduction,To develop pattern recognition and vision method for medical images has become one of the most challenging tasks in view of practical as well as industrial interest.
MUT
发表于 2025-3-25 18:40:40
https://doi.org/10.1007/978-981-99-9939-2Fuzzy set; Neutrosophic set; Clustering; Segmentation; MRIs; CT scans
无法解释
发表于 2025-3-25 23:15:31
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custody
发表于 2025-3-26 03:59:14
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遗弃
发表于 2025-3-26 05:18:07
https://doi.org/10.1007/978-3-642-96430-5 Radiologists and medical practitioners mostly depended on the analysis of PD patients’ magnetic resonance images (MRIs) to identify this disease. Due to presence of grayscale features and uncertain inherited information in MRIs, their pattern recognition and visualization were very complex. With th
衰老
发表于 2025-3-26 12:03:35
https://doi.org/10.1007/978-3-642-96430-5ecisions through evaluating the developments in these regions. Study of these MRIs suffers from two major issues such as: (a) the boundaries of their gray matter and white matter regions are ambiguous and unclear in nature, and (b) their regions are formed with unclear inhomogeneous gray structures.
bleach
发表于 2025-3-26 15:22:53
https://doi.org/10.1007/978-981-10-0173-4ases by evaluating the developments in these areas. One of the significant approaches used in analyzing the MRIs were segmenting the regions. However, their segmentation suffers from two major problems as: (a) the boundaries of their gray matter and white matter regions are ambiguous in nature, and
BRAND
发表于 2025-3-26 18:25:53
https://doi.org/10.1007/978-981-10-0173-4s and helps to model uncertainties with six different memberships very effectively. To demonstrate the real-time application of this theory, a new segmentation method for brain tumor tissue structures in magnetic resonance imaging (MRI) is presented. There are inconsistencies in the gray levels obse