Background The development of non-sputum-based tests is an urgent priority to increase access to tuberculosis (TB) diagnostic ...

Abstract: Despite the widespread occurrence of classification problems and the increasing collection of point process data across many disciplines, study of error ...

A C++ implementation of a fully-connected neural network for handwritten digit recognition (0-9), built entirely from scratch without using external machine learning libraries. This project was ...

Abstract: In radiology, particularly in lung cancer diagnosis, diagnostic errors and cognitive biases pose substantial challenges. These issues, including perceptual errors, interpretive mistakes, and ...