Basing on analysis of results of examination and treatment of 160 patients, suffering mechanical jaundice, its practical classification was elaborated, containing the issues of pathogenesis and the main characteristics according to anatomo-topographic and clinical criteria.
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College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China. Electronic address:
Currently, for obtaining more accurate counts, existing methods primarily utilize RGB images combined with features of complementary modality (X-modality) for counting. However, designing a model that can adapt to various sensors is still an unsolved issue due to the differences in features between different modalities. Therefore, this paper proposes a unified fusion framework called CMFX for RGB-X crowd counting.
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