Predicting COVID-19 Prevalence Using Wastewater RNA Surveillance: A Semi-Supervised Learning Approach with Temporal Feature Trust [PDF]
Yifei Chen, Eric Liang
openalex +1 more source
SpartanAnatomy.org: Evaluating a new interactive neuroradiology tool for early medical education
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 +3 more
wiley +1 more source
A Multi-Fidelity Data Fusion Approach Based on Semi-Supervised Learning for Image Super-Resolution in Data-Scarce Scenarios. [PDF]
Zhu H +5 more
europepmc +1 more source
Abstract Educating clients and teaching and mentoring colleagues are crucial yet underappreciated elements of a veterinarian's professional duties. Unfortunately, veterinary curricula rarely explicitly aim to encourage students to develop effective teaching practices.
Renato L. Previdelli +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]
Liu Y, Wen C.
europepmc +1 more source
Semi-supervised Learning Model Weights for Detecting Floating Plastic Litter
Tianlong Jia
openalex +1 more source
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 +1 more
wiley +1 more source
Suicide Risk Assessment on Social Media with Semi-Supervised Learning. [PDF]
Lovitt M, Ma H, Wang S, Peng Y.
europepmc +1 more source
Abstract Serious games are emerging as innovative tools in medical education, yet their adoption in anatomy teaching remains limited due to educator hesitancy, institutional constraints, and design challenges. This qualitative study explores the perspectives of anatomy educators on digital serious games and proposes a framework for their implementation.
Arthur Chin Haeng Lau, James Pickering
wiley +1 more source
A deep semi-supervised learning approach to the detection of glaucoma on out-of-distribution retinal fundus image datasets. [PDF]
Wang L +12 more
europepmc +1 more source

