Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation [PDF]
Fully convolutional neural networks (FCNs), and in particular U-Nets, have achieved state-of-the-art results in semantic segmentation for numerous medical imaging applications.
Alireza Mehrtash+4 more
semanticscholar +1 more source
A small footprint couch‐top support device for image‐guided radiotherapy of heavy patients
Abstract Purpose Patients with body weights close to or above 400 lbs present unique challenges in radiation therapy since the weight limit of most treatment couches decreases as the couch‐top extends toward the treatment gantry. The purpose of this work was to develop a small footprint couch‐top support platform to safely perform image‐guided ...
Huixiao Chen+5 more
wiley +1 more source
On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions
The purpose of the present paper is to deal with sequential estimation of the parameter θ in a Lindley distribution. A fixed-accuracy confidence interval for θ with a preassigned confidence coefficient is developed.
Sudeep Bapat+2 more
doaj +1 more source
Exact-corrected confidence interval for risk difference in noninferiority binomial trials [PDF]
A novel confidence interval estimator is proposed for the risk difference in noninferiority binomial trials. The confidence interval is consistent with an exact unconditional test that preserves the type-I error, and has improved power, particularly for smaller sample sizes, compared to the confidence interval by Chan & Zhang (1999).
arxiv
Clinical commissioning of an adaptive radiotherapy platform: Results and recommendations
Abstract Online adaptive radiotherapy platforms present a unique challenge for commissioning as guidance is lacking and specialized adaptive equipment, such as deformable phantoms, are rare. We designed a novel adaptive commissioning process consisting of end‐to‐end tests using standard clinical resources.
Kelly Kisling+5 more
wiley +1 more source
ESTIMATING COMMON PARAMETERS OF DIFFERENT CONTINUOUS DISTRIBUTIONS [PDF]
Estimating a common parameter is the most essential and quite fascinating task across various probability distributions. This article addresses the challenge of estimating this parameter through the application of Maximum Likelihood Estimation (MLE ...
Abbarapu Ashok , Nadiminti Nagamani
doaj +1 more source
Confidence regions for high quantiles of a heavy tailed distribution
Estimating high quantiles plays an important role in the context of risk management. This involves extrapolation of an unknown distribution function. In this paper we propose three methods, namely, the normal approximation method, the likelihood ratio ...
Peng, Liang, Qi, Yongcheng
core +1 more source
Confidence intervals for policy evaluation in adaptive experiments [PDF]
Significance Randomized controlled trials are central to the scientific process, but they can be costly. For example, a clinical trial may assign patients to treatments that are detrimental to them.
semanticscholar +1 more source
Statistical process control to monitor use of a web‐based autoplanning tool
Abstract Purpose To investigate the use of statistical process control (SPC) for quality assurance of an integrated web‐based autoplanning tool, Radiation Planning Assistant (RPA). Methods Automatically generated plans were downloaded and imported into two treatment planning systems (TPSs), RayStation and Eclipse, in which they were recalculated using ...
Hunter Mehrens+5 more
wiley +1 more source
Estimation and Confidence Intervals of a New PCI CNpmc for Logistic-Exponential Process Distribution
The process capability index has been introduced as an effective tool used in industries to aid in the assessment of process performance as well as to measure how much the product meets the costumer expectations.
Refah Alotaibi, Sanku Dey, Mahendra Saha
doaj +1 more source