Conformal prediction in clinical medical sciences
The use of machine learning (ML) and artificial intelligence (AI) applications in medicine has
attracted a great deal of attention in the medical literature, but little is known about how to …
attracted a great deal of attention in the medical literature, but little is known about how to …
Inductive conformal predictor for convolutional neural networks: Applications to active learning for image classification
Conformal prediction uses the degree of strangeness (nonconformity) of data instances to
determine the confidence values of new predictions. We propose an inductive conformal …
determine the confidence values of new predictions. We propose an inductive conformal …
The role of real-time in biomedical science: A meta-analysis on computational complexity, delay and speedup
Purpose: The concept of real-time is very important, as it deals with the realizability of
computer based health care systems. Method: In this paper we review biomedical real-time …
computer based health care systems. Method: In this paper we review biomedical real-time …
A novel dual layer cascade reliability framework for an informed and intuitive clinician-AI interaction in diagnosis of colorectal cancer polyps
We present a novel Cascade Reliability Framework (CRF) that integrates two independent
cascade layers of reliability (ie, variational temperature scaling and conformal prediction) …
cascade layers of reliability (ie, variational temperature scaling and conformal prediction) …
Conformal prediction based active learning by linear regression optimization
Conformal prediction uses the degree of strangeness (nonconformity) of data instances to
determine the confidence values of new predictions. We propose a conformal prediction …
determine the confidence values of new predictions. We propose a conformal prediction …
[BOEK][B] Conformal prediction based active learning
SM Romero - 2019 - search.proquest.com
Conformal prediction uses the degree of strangeness (nonconformity) of new data instances
to determine the confidence values of new predictions. Conformal predictors are …
to determine the confidence values of new predictions. Conformal predictors are …
The severity of stages estimation during hemorrhage using error correcting output codes method
Y Luo - 2012 - scholarscompass.vcu.edu
As a beneficial component with critical impact, computer-aided decision making systems
have infiltrated many fields, such as economics, medicine, architecture and agriculture. The …
have infiltrated many fields, such as economics, medicine, architecture and agriculture. The …