Article

Explainability of Radiomics Through Formal Methods

2021-12-06

Abstract excerpt

<i>Background and Objective</i>: Artificial Intelligence has proven to be effective in radiomics. The main problem in using Artificial Intelligence is researchers and practitioners are not able to know how the predictions are generated. This is currently an open issue because results’ explainability is advantageous in understanding the reasoning behind the model, both for patients than for implementing a feedback...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a7ed2662-f48f-52ae-99ad-63329c3101c3
DOI: 10.2139/ssrn.3978710

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Explainability of Radiomics Through Formal MethodsDOI 10.2139/ssrn.3978710Read

Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosisSemantic proximity Read

A Formal Explanation Space for the Simultaneous Clustering of Neurology PhenotypesSemantic proximity Read

Clinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR) – changing the way we validate classification algorithms?Semantic proximity Read

A diagnostic support system based on interpretable machine learning and oscillometry for accurate diagnosis of respiratory dysfunction in silicosisSemantic proximity Read

Machine Learning and Explainable Artificial Intelligence using Counterfactual Explanations for Evaluating Posture ParametersSemantic proximity Read

An Explainable Artificial Intelligence Framework for Decision-Making in Critical Information Technology SystemsSemantic proximity Read

Bayesian Logical Neural Networks for Human-Centered Applications in MedicineSemantic proximity Read

Application of An Exponential Mathematical Law of Cardiac Dynamics In 16 HoursSemantic proximity Read

TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning ModelsSemantic proximity Read

Structure of medical explanation: a semantic modelSemantic proximity Read

Fractal Calculus Facilitates Rethinking 'Hard Problems'; A New Research ParadigmSemantic proximity Read

Topological Approach with Decision Making Based on Nano Beta Closure, Nano Beta Interior and its Application with Fractals in Medical FieldsSemantic proximity Read