scholarly journals MP74-10 DEEP LEARNING FOR SEMI-AUTOMATED PIRADSV2 SCORING ON MULTIPARAMETRIC PROSTATE MRI

2019 ◽  
Vol 201 (Supplement 4) ◽  
Author(s):  
Tom Sanford* ◽  
Stephanie Harmon ◽  
Manuel Madariaga ◽  
Deepak Kesani ◽  
Sherif Mehralivand ◽  
...  
Keyword(s):  
Deep Learning ◽  
Prostate Mri ◽  
Multiparametric Prostate Mri

Deep‐Learning‐Based Artificial Intelligence for PI‐RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study

2020 ◽  
Vol 52 (5) ◽  
pp. 1499-1507 ◽  
Author(s):  
Thomas Sanford ◽  
Stephanie A. Harmon ◽  
Evrim B. Turkbey ◽  
Deepak Kesani ◽  
Sena Tuncer ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Development Study ◽  
Prostate Mri ◽  
Multiparametric Prostate Mri

scholarly journals 68Ga-PSMA PET/MR–Positive, Histopathology-Proven Prostate Cancer in a Patient With Negative Multiparametric Prostate MRI

2018 ◽  
Vol 43 (8) ◽  
pp. e282-e284 ◽  
Author(s):  
Urs J. Muehlematter ◽  
Niels J. Rupp ◽  
Julian Mueller ◽  
Daniel Eberli ◽  
Irene A. Burger
Keyword(s):  
Prostate Cancer ◽  
Prostate Mri ◽  
Psma Pet ◽  
Multiparametric Prostate Mri

Deep learning-based artificial intelligence applications in prostate MRI: brief summary

2021 ◽  
Author(s):  
Baris Turkbey ◽  
Masoom A. Haider
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Diagnostic Performance ◽  
Lesion Detection ◽  
Western World ◽  
Complex Nature ◽  
Cancer Type ◽  
Prostate Mri ◽  
Prostate Segmentation ◽  
Established Role

Prostate cancer (PCa) is the most common cancer type in males in the Western World. MRI has an established role in diagnosis of PCa through guiding biopsies. Due to multistep complex nature of the MRI-guided PCa diagnosis pathway, diagnostic performance has a big variation. Developing artificial intelligence (AI) models using machine learning, particularly deep learning, has an expanding role in radiology. Specifically, for prostate MRI, several AI approaches have been defined in the literature for prostate segmentation, lesion detection and classification with the aim of improving diagnostic performance and interobserver agreement. In this review article, we summarize the use of radiology applications of AI in prostate MRI.

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