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Machine Learning-Based Radiomics Model to Predict Benign and Malignant PI-RADS v2.1 Category 3 lesions : A Retrospective Multi-center Study

2022-12-16

Abstract excerpt

<h4>Purpose: </h4> To develop machine learning-based prediction models derive from different MRI sequences for distinction between benign and malignant PI-RADS 3 lesions before intervention, and to cross-institution validate the generalization ability of the models. <h4>Methods: </h4>: The pre-biopsy MRI datas of 463 patients diagnosed as PI-RADS 3 lesions were collected from 4 medical institutions. 2347 radiomic...

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Literature Corpus work
9136017c-02d0-57dc-8f96-6aee31c97557
DOI
10.21203/rs.3.rs-2324823/v1
Open publication

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Machine Learning-Based Radiomics Model to Predict Benign and Malignant PI-RADS v2.1 Category 3 lesions : A Retrospective Multi-center StudyDOI 10.21203/rs.3.rs-2324823/v1
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