Computer-aided diagnosis of prostate cancer using multi-parametric MRI: comparison between PUN and Tofts models
Author:
Funder
Fondazione Piemontese per la Ricerca sul Cancro FPRC-onlus
Publisher
IOP Publishing
Subject
Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://iopscience.iop.org/article/10.1088/1361-6560/aab956/pdf
Reference28 articles.
1. ESUR prostate MR guidelines 2012
2. Accuracy of gamma-variate fits to concentration-time curves from dynamic susceptibility-contrast enhanced MRI: Influence of time resolution, maximal signal drop and signal-to-noise
3. Dynamic Contrast-Enhanced MRI in the Study of Brain Tumors. Comparison Between the Extended Tofts-Kety Model and a Phenomenological Universalities (PUN) Algorithm
4. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential
5. Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI
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2. Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI;Journal of Applied Statistics;2021-12-17
3. A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation;Frontiers in Oncology;2021-10-01
4. Computer-Aided Diagnosis Improves the Detection of Clinically Significant Prostate Cancer on Multiparametric-MRI: A Multi-Observer Performance Study Involving Inexperienced Readers;Diagnostics;2021-05-28
5. Automatic segmentation of prostate cancer based on fusion multi-parameter MRI images;The Fourth International Symposium on Image Computing and Digital Medicine;2020-12-05
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