IEEE

Prototype Bayesian Meta-Learning for Few-Shot Image Classification

Abstract: Meta-learning aims to leverage prior knowledge from related tasks to enable a base learner to quickly adapt to new tasks with limited labeled samples. However, traditional meta-learning ...
jmg.bmj

The PS4-likelihood ratio calculator: flexible allocation of evidence weighting for case-control data in variant classification

2 St George's University Hospitals NHS Foundation Trust, London, UK Background The 2015 American College of Medical Genetics/Association of Molecular Pathology (ACMG/AMP) variant classification ...
IEEE

A Bayesian Backed DeepLabV3+ Customized Hybrid-Depth Framework for Brain Tumor Segmentation and Classification

Abstract: Efficient diagnosis, treatment planning, and patient care requires that brain tumors in MRI images must be accurately segmented and classified. Many deep learning practices are used to ...