Results 151 to 160 of about 1,843,388 (341)
AN ELECTRON MICROSCOPE STUDY OF THE MORPHOLOGY AND DISTRIBUTION OF THE INTRACYTOPLASMIC "VIRUS-LIKE" PARTICLES OF EHRLICH ASCITES TUMOR CELLS [PDF]
W. Robert Adams, Alfred M. Prince
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In linguistics, morphology is the study of the smallest units of grammatical combination that are interpreted in form (sound) and meaning. Contemporary theories of morphology challenge traditional views that are often presupposed by investigations into the neurobiology of language.
openaire +3 more sources
Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola+5 more
wiley +1 more source
Clostridioides difficile, a spore-forming anaerobic bacterium, is the primary cause of hospital antibiotic-associated diarrhea. Key virulence factors, toxins A (TcdA) and B (TcdB), significantly contribute to C. difficile infection (CDI).
Dvison de Melo Pacífico+8 more
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THE DEVELOPMENT OF THE MAMMALIAN PITUITARY AND ITS MORPHOLOGICAL SIGNIFICANCE [PDF]
P. T. Herring
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A method for measuring spatial resolution based on clinical chest CT sequence images
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu+3 more
wiley +1 more source
Bi-directional Mapping of Morphology Metrics and 3D City Blocks for Enhanced Characterization and Generation of Urban Form [PDF]
Urban morphology, examining city spatial configurations, links urban design to sustainability. Morphology metrics play a fundamental role in performance-driven computational urban design (CUD) which integrates urban form generation, performance evaluation and optimization. However, a critical gap remains between performance evaluation and complex urban
arxiv
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang+2 more
wiley +1 more source
Physiological and Morphological Correlations in Herbaceous Angiosperms
E. C. Jeffrey, R. E. Torrey
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