From Detection to Radiology Report Generation: Fine-Grained Multi-Modal Alignment with Semi-Supervised Learning. [PDF]
Tang Q, Liu L, Yang X, Liu L, Peng W.
europepmc +1 more source
Basic research on the PEDV infection cycle and virus–host interactions advances the development of anti‐PEDV drugs and disease‐resistant breeding and helps strengthen disease prevention and control while reducing economic losses in the swine industry.
Heyong Wu +8 more
wiley +1 more source
Predicting the availability of power line communication nodes using semi-supervised learning algorithms. [PDF]
Moussa K +4 more
europepmc +1 more source
Production of 3D printed biomodels of the canine brain for veterinary neuroanatomy teaching
Abstract Teaching neuroanatomy presents multiple challenges to both students and teachers, as it is a subject with highly dense content that commonly causes the development of aversion by students, a phenomenon referred to as “neurophobia,” which has been documented in human and veterinary medicine students.
João Victor Barbosa Tenório Fireman +1 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 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 +5 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
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
Suicide Risk Assessment on Social Media with Semi-Supervised Learning. [PDF]
Lovitt M, Ma H, Wang S, Peng Y.
europepmc +1 more source

