A ROBUST METABOLIC ENZYME-BASED PROGNOSTIC SIGNATURE FOR HEAD AND NECK SQUAMOUS CELL CARCINOMA




Informed Bayesian survival analysis

Abstract Background We provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival analysis.We contrast the Bayesian framework to the currently dominant frequentist approach and highlight advantages, such as seamless incorporation of historical data, continuous monitoring o

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A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision

Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions.This paper traces the origins of machine vision, from early jilungin dreaming tea image processing algorithms to its convergence with computer science, mathematics, and robotics, result

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