Results 201 to 210 of about 601,753 (327)

Extractive summarization using supervised and semi-supervised learning

, 2008
Kam‐Fai Wong, Mingli Wu, Wenjie Li
openalex   +1 more source

‘SOMS BrainSpace’: A digital serious game for undergraduate neuroscience

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy is challenging for many undergraduates, requiring strong visuospatial skills and a deep understanding of complex concepts. This study developed and evaluated SOMS BrainSpace, a digital serious game for neuroanatomy education, using a mixed methods approach.
Anthony Tran, Jin Y. Huang, Craig R. Campbell, Elizabeth M. Hegedus   +3 more
wiley   +1 more source

A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment. [PDF]

Sci Rep
Liu Y, Wen C.
europepmc   +1 more source

Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data [PDF]

, 2010
George Lee, Anant Madabhushi
openalex   +1 more source

The impact of an immersive virtual reality anatomy lab for informal science education

Anatomical Sciences Education, EarlyView.
Abstract The use of virtual reality (VR) in anatomy education enables interactive exploration of the human body and can overcome challenges in informal education settings, such as access to donated human remains and spatial understanding of 3D structures.
Leena Alkhammash, Anthony N. Saraco, Cristina Goes Schaurich, Bailey S. Y. Lo, Claudia Krebs   +4 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 the relationship between entertainment and education in anatomy public engagement: A qualitative examination of anatomists' perspectives

Anatomical Sciences Education, EarlyView.
Abstract Entertainment is deeply rooted in education, from wise‐cracking teachers to health documentaries. In the context of anatomy, this already complex relationship is entwined with deeply significant ethical considerations, often related to the field's reliance on human tissue, yet it remains unexplored.
Lucas D. Wilmshurst, Lauren Clunie, Kieron Brand, Chandini Parsan Chand, Kat A. Sanders   +4 more
wiley   +1 more source

Suicide Risk Assessment on Social Media with Semi-Supervised Learning. [PDF]

Proc IEEE Int Conf Big Data
Lovitt M, Ma H, Wang S, Peng Y.
europepmc   +1 more source

One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis. [PDF]

IEEE Trans Med Imaging, 2023
Fan R, Bowd C, Brye N, Christopher M, Weinreb RN, Kriegman DJ, Zangwill LM.   +6 more
europepmc   +1 more source

A Unified Semi-Supervised Dimensionality Reduction Framework for Manifold Learning

, 2008
Ratthachat Chatpatanasiri, Boonserm Kijsirikul   +1 more
openalex   +2 more sources