Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis (Q92073904)

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scientific article published on 26 November 2019

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English	Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis	scientific article published on 26 November 2019

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scholarly article

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26 April 2020

Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis (English)

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26 April 2020

artificial neural network

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9

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26 April 2020

Indrin J Chetty

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Indrin J Chetty

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26 April 2020

Benjamin Movsas

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Benjamin Movsas

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26 April 2020

Mohamed Elshaikh

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Mohamed Elshaikh

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26 April 2020

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David Hearshen

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26 April 2020

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Milan Pantelic

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26 April 2020

Hassan Bagher-Ebadian

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Hassan Bagher-Ebadian

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26 April 2020

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Branislava Janic

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26 April 2020

Chang Liu

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26 April 2020

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26 November 2019

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26 April 2020

Frontiers in Oncology

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26 April 2020

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26 April 2020

1313

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26 April 2020

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Creative Commons Attribution 4.0 International

26 November 2019

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describes a project that uses

artificial neural network

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based on heuristic

inferred from title

Computer-aided diagnosis of prostate cancer with MRI

1 reference

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Advances in Prostate Cancer Magnetic Resonance Imaging and Positron Emission Tomography-Computed Tomography for Staging and Radiotherapy Treatment Planning

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3 Tesla multiparametric MRI for GTV-definition of Dominant Intraprostatic Lesions in patients with Prostate Cancer--an interobserver variability study.

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10.3389/FONC.2019.01313

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26 April 2020

PMC publication ID

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26 April 2020

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26 April 2020

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