Results 241 to 250 of about 238,312 (311)

Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review

Anatomical Sciences Education, EarlyView.
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira, Eloá Naiara de Assis Teodoro, Maria Clara Ramos, Phelipe Henrique Alves Batalha Coelho, Gustavo Eyer de Menezes, Guilherme Menezes Lage, Bárbara de Paula Ferreira, Sara Edith Souza de Assis Leão   +7 more
wiley   +1 more source

A deep semi-supervised learning approach to the detection of glaucoma on out-of-distribution retinal fundus image datasets. [PDF]

BMC Ophthalmol
Wang L, Zhang X, Li Z, Yu S, Wu Y, Zhang S, Jiang G, Tian B, Mei C, Pu J, Liang Y, Yi Q, Wu W.   +12 more
europepmc   +1 more source

Exploring student perceptions of integrating mixed reality with cadaveric teaching in undergraduate neuroanatomy education: A qualitative study

Anatomical Sciences Education, EarlyView.
Abstract Mixed reality (MR) using head‐mounted displays provides three‐dimensional visualizations that have been suggested to enhance learning when used alongside conventional anatomy teaching in medical education. This study explored student perceptions of the integration of MR and traditional cadaveric learning, and their optimal delivery to support ...
Harpreet Kasbia, Rehman Ali Baig, Lydia Boynton, Fanny Mozu‐Simpson, Ally Fattal, Ben Clare, Puneet Sharma, Arthur Dalton, Celia Brown, Ana Baptista, Richard J. Pinder, Ali Rezaei Haddad, Amir H. Sam   +12 more
wiley   +1 more source

Towards automated recipe genre classification using semi-supervised learning. [PDF]

PLoS One
Sakib N, Shahariar GM, Kabir MM, Hasan MK, Mahmud H.   +4 more
europepmc   +1 more source

Integration of the arts and biomedical engineering in innovative interdisciplinary anatomy education: The synthetic anatomy module

Anatomical Sciences Education, EarlyView.
Abstract The intersection of science and art has historically fostered innovation, yet the integration of creative arts into anatomy education remains limited. The Synthetic Anatomy module was designed to bridge anatomy teaching with creative design for bioscience and biomedical engineering students. This study evaluates the module's educational impact
Mandeep Gill Sagoo, Pak Yin Lam, Leigh Wilson, Les Bicknell, Kawal Rhode, Siham Omar, Richard Wingate   +6 more
wiley   +1 more source

Toward a Semi-Supervised Learning Approach to Phylogenetic Estimation. [PDF]

Syst Biol
Silvestro D, Latrille T, Salamin N.
europepmc   +1 more source

Exploring 3D anatomy: A free online course supporting novice learner inquiry and spatial conceptualization

Anatomical Sciences Education, EarlyView.
Abstract Application of three‐dimensional anatomical knowledge is essential for patient examination, diagnosis, and treatment and is crucial in the training of medical and healthcare students. Moreover, critical observation and spatial awareness are vital for learner understanding of three‐dimensional anatomical structures and relationships.
Jiayi Zhang, Moksh Sachdeva, Calum McCaig, Eleanor Gordon, Leonard Shapiro, Iain D. Keenan   +5 more
wiley   +1 more source

Assessment of anemia recovery using peripheral blood smears by deep semi-supervised learning. [PDF]

Ann Hematol
Yan Q, Zhang Y, Wei L, Liu X, Wang X.
europepmc   +1 more source

Methodological challenges in content‐based citation analysis: Expertise, reliability, and the primacy of citance identification

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Content‐based citation analysis seeks to capture the meaning and functions of citations but continues to face unresolved methodological challenges. This study analyzes a stratified sample of library and information science publications to examine how citance segmentation and annotator expertise influence the consistency of classification ...
Zehra Taşkın
wiley   +1 more source

scRSSL: Residual semi-supervised learning with deep generative models to automatically identify cell types. [PDF]

IET Syst Biol
Gao Y, Duan H, Meng F, Zhang C, Li X, Li F.   +5 more
europepmc   +1 more source