Results 71 to 80 of about 1,166 (192)
Course syllabus for MEDT 421 Hemostasis Course description: This course is part of a series of lectures in clinical hematology with emphasis on hemostasis.
Sibal, Sharon
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A novel lightweight medical image segmentation model, SUNeXt, is proposed, which is capable of capturing both local details and global context of an image by constructing the efficient SNeXt blocks. The proposed grouped multi‐scale feature fusion (GMFF) module employs an innovative grouping strategy to comprehensively capture multi‐scale features ...
Cong Chen +4 more
wiley +1 more source
MEDT 431 Clinical Microbiology IV
Course syllabus for MEDT 431 Clinical Microbiology IV Course description: This course is a continued study of the micro-organisms encountered in the clinical microbiology laboratory.
Shen, Min +2 more
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A methodology based on concepts that arose from Density Functional Theory (CDFT) was chosen for the calculation of global and local reactivity descriptors of the Seragamide family of marine anticancer peptides.
Norma Flores-Holguín +2 more
doaj +1 more source
Dual‐branch Transformer for semi‐supervised medical image segmentation
Abstract Purpose In recent years, the use of deep learning for medical image segmentation has become a popular trend, but its development also faces some challenges. Firstly, due to the specialized nature of medical data, precise annotation is time‐consuming and labor‐intensive.
Xiaojie Huang +6 more
wiley +1 more source
Course syllabus for MEDT 340 Immunology Course description: Introduces the basic concepts and terminology of the immune response including humoral and cellular immunity, immunogenetics, tumor and transplantation immunity, serology, and ...
Klingensmith, Phyllis M.
core
MEDT 333 Clinical Laboratory Science: Microbiology II
Course syllabus for MEDT 333 Clinical Laboratory Science: Microbiology II Course description: This course is the second in a series of four Clinical Microbiology courses. The area of emphasis are gram negative bacilli, acid fast bacilli, antibiotics, and
Molander, L. T., Coleman, Clementine
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To accurately segment intracranial hematoma regions, we propose an encoding‐decoding architecture combining CNN and Transformer that is capable of segmenting four different types of ICH. The authors achieved 87.05% of mIoU, 93.00% of mAP, 92.73% of TPR, and 92.86% of DSC.
Guangyu Li +3 more
wiley +1 more source
MEDT 466 Seminar: Certification Review
Course syllabus for MEDT 466A Seminar: Certification Review Course description: This seminar is designed to help students review basic entry level knowledge of the clinical laboratory sciences, to assess strengths and weaknesses and to plan further study.
Coleman, Clementine
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Course syllabus for MEDT 432 Blood Bank II Course description: This is the second of the two-part Blood Bank lecture series . The immunohematological concepts covered in Blood Bank I will be applied to problems in compatability testing, antibody ...
Alkema, Carol
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