Results 321 to 330 of about 13,122,907 (389)

Awareness and perception of physicians about forgery and counterfeiting in the medical field in Egypt. [PDF]

Sci Rep
Elsayed AS, Mwaheb MA, Elsary AY, El Rashed K, Saleh AR.   +4 more
europepmc   +1 more source

Developing an element system of hospital resilience to medical run in major emerging infectious diseases: a Delphi study. [PDF]

BMC Infect Dis
Cheng K, Xie R, Xu Z, Zhang Y, Gui L.
europepmc   +1 more source

Specialty preferences among Nigerian medical students: a cross sectional study. [PDF]

BMC Med Educ
Olajide T, Ezebialu C, Uche-Orji C, Abdullateef R, Okoye C, Olaoye E, Thomas J, Adeniyi J, Ogiemudia A, Aina S, Oladapo O, Ibitunde E, Bankole O, Asogwa C, Ojewumi M, Wagwula P, Fatola A, Adewara O, Christian K, Jerry-Ogeme O, Rejoice L, Obah C, Sanusi N, Alabi J, Ayegboyin E, Olaadura A, Adejumo I, Enyesiobi P, Alemede P, Uzoechi D, Ahmad A, Ezeani C, Uche-Orji B, Joshua O, Agha-Okoro I, Omumuawuike G, Gambo J, Gbenle P, Adetoye E, Odusola O, Ya'u M, Karaye M, Akinyemi R.   +42 more
europepmc   +1 more source

Surviving and Thriving in Medicine: Developing Theory-Based Interventions for Students From Widening Access Backgrounds. [PDF]

Clin Teach
Gibson Smith K, Ferguson E, Gouveia K, Walker KA, Lumsden C, Poobalan A, Laidlaw A.   +6 more
europepmc   +1 more source

Assessment of graph literacy among German medical students- an observational cross-sectional survey study. [PDF]

BMC Med Educ
Soler Wenglein J, Heidenreich A, Friederichs H.   +2 more
europepmc   +1 more source

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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

ECCV Workshops, 2021
In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical ...
Hu Cao, Yueyue Wang, Jieneng Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang   +6 more
semanticscholar   +1 more source

Practical statistics for medical research

, 1990
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed.
D. Altman
semanticscholar   +1 more source

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
Over the past decade, Deep Convolutional Neural Networks have been widely adopted for medical image segmentation and shown to achieve adequate performance.
Jeya Maria Jose Valanarasu, Poojan Oza, I. Hacihaliloglu, Vishal M. Patel   +3 more
semanticscholar   +1 more source