Results 151 to 160 of about 41,355 (238)

Semi-Supervised Learning for Predicting Multiple Sclerosis. [PDF]

J Pers Med
Kotsiantis S, Melagraki G, Verykios V, Sakagianni A, Matsoukas J.   +4 more
europepmc   +1 more source

Preliminary insights on high‐fidelity embalming solutions for surgical skills training—An evaluation using the McMaster Embalming Scale and mechanical tests

Anatomical Sciences Education, EarlyView.
Abstract Simulation‐based training is critical for surgical skill acquisition and typically uses soft‐preserved body donors, as they represent high‐fidelity models (vs. hard‐fixed donors) with prolonged periods of preservation (vs. unembalmed donors).
Sorin Darie, Bruce C. Wainman, Gregory R. Wohl, Austine Y. Wang, Betty Z. Zhang, Athena Li, Esa Ahmad, Andrew S. Palombella, Jasmine L. Rockarts, Darren L. de SA, Laura N. Nguyen, Brooke DeCarlo, Naomi Downer, Danielle Brewer‐Deluce   +13 more
wiley   +1 more source

Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification. [PDF]

Sci Rep
Siddique MF, Umar M, Ahmad W, Kim JM.
europepmc   +1 more source

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

Anatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair, Diego Cureño, Alejandro De León Cuevas, Paola Ocampo Luna, Marta Bianciardi, María G. García‐Gomar   +5 more
wiley   +1 more source

Underwater fish image recognition based on knowledge graphs and semi-supervised learning feature enhancement. [PDF]

Sci Rep
Zhang F, Hu J, Sun Y.
europepmc   +1 more source

SpartanAnatomy.org: Evaluating a new interactive neuroradiology tool for early medical education

Anatomical Sciences Education, EarlyView.
Abstract Teaching neuroanatomy through the lens of magnetic resonance imaging (MRI) offers medical students a strong foundation for success. However, many existing MRI learning resources lack interactivity and user‐friendliness, require payment, or include an overwhelming number of labeled structures.
Halie Kerver, Cody Lee, Danielle Keller, Ruxin Shi   +3 more
wiley   +1 more source

Federated Semi-Supervised Learning with Uniform Random and Lattice-Based Client Sampling. [PDF]

Entropy (Basel)
Zhang M, Yang F.
europepmc   +1 more source

Comparison of JB4 plastic resin and standard paraffin methods on student performance and student perspectives in digital histology education: A randomized controlled study

Anatomical Sciences Education, EarlyView.
Abstract This randomized controlled study compared the effectiveness of histological preparations embedded in glycol methacrylate‐based JB4 plastic resin with traditional paraffin blocks in digital histology education. A total of 297 second‐year medical students at Sivas Cumhuriyet University participated.
Zeynep Deniz Şahin İnan, Ezgi Ağadayı   +1 more
wiley   +1 more source

scSemiPLC: a semi-supervised learning framework for annotating single-cell RNA-Seq data by generating pseudo-labels through clustering. [PDF]

mSystems
Ma Q, Wang L, Li W.
europepmc   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source