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Perceptions of radiologists on structured reporting for cancer imaging-a survey by the European Society of Oncologic Imaging (ESOI)

• Authors : Leithner, Doris; Sala, Evis; Neri, Emanuele

• Source: Leithner , D , Sala , E , Neri , E , Schlemmer , H-P , D'Anastasi , M , Weber , M , Avesani , G , Caglic , I , Caruso , D , Gabelloni , M , Goh , V , Granata , V , Kunz , W G , Nougaret , S , Russo ,

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Artificial intelligence compared to radiologists for the initial diagnosis of prostate cancer on magnetic resonance imaging:A systematic review and recommendations for future studies

• Authors : Syer, Tom; Mehta, Pritesh; Antonelli, Michela

Subjects: Artificial intelligence; Computer-aided diagnosis; Deep learning

• Source: Syer , T , Mehta , P , Antonelli , M , Mallett , S , Atkinson , D , Ourselin , S & Punwani , S 2021 , ' Artificial intelligence compared to radiologists for the initial

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Artificial intelligence compared to radiologists for the initial diagnosis of prostate cancer on magnetic resonance imaging:A systematic review and recommendations for future studies

• Authors : Syer, Tom; Mehta, Pritesh; Antonelli, Michela

Subjects: Artificial intelligence; Computer-aided diagnosis; Deep learning

• Source: Syer , T , Mehta , P , Antonelli , M , Mallett , S , Atkinson , D , Ourselin , S & Punwani , S 2021 , ' Artificial intelligence compared to radiologists for the initial

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Variability in accuracy of prostate cancer segmentation among radiologists, urologists, and scientists

• Authors : Chen, Michael Y.; Woodruff, Maria A.; Dasgupta, Prokar

Subjects: 3D model; 3D printing; MRI

• Source: Chen , M Y , Woodruff , M A , Dasgupta , P & Rukin , N J 2020 , ' Variability in accuracy of prostate cancer segmentation among radiologists, urologists, and scientists

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Variability in accuracy of prostate cancer segmentation among radiologists, urologists, and scientists

• Authors : Chen, Michael Y.; Woodruff, Maria A.; Dasgupta, Prokar

Subjects: 3D model; 3D printing; MRI

• Source: Chen , M Y , Woodruff , M A , Dasgupta , P & Rukin , N J 2020 , ' Variability in accuracy of prostate cancer segmentation among radiologists, urologists, and scientists

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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists

• Authors : Antonelli, Michela; Johnston, Edward W.; Dikaios, Nikolaos

Subjects: Diagnosis; computer-assisted; Gleason score

• Source: Antonelli , M , Johnston , E W , Dikaios , N , Cheung , K K , Sidhu , H S , Appayya , M B , Giganti , F , Simmons , L A M , Freeman , A , Allen , C , Ahmed , H U , Atkinson , D , Ourselin , S &

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The Fellowship of the Royal College of Radiologists (FRCR) Examination:a Review of the Evidence

• Authors : Booth, Thomas Calvert; De Paula Monteiro Martins, Rute; McKnight, Liam

• Source: Booth , T C , De Paula Monteiro Martins , R , McKnight , L , Courtney , K & Malliwal , R 2018 , ' The Fellowship of the Royal College of Radiologists (FRCR)

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The Fellowship of the Royal College of Radiologists (FRCR) Examination:a Review of the Evidence

• Authors : Booth, Thomas Calvert; De Paula Monteiro Martins, Rute; McKnight, Liam

• Source: Booth , T C , De Paula Monteiro Martins , R , McKnight , L , Courtney , K & Malliwal , R 2018 , ' The Fellowship of the Royal College of Radiologists (FRCR)

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Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia:a multi-rater, clinical accuracy study

Subjects: Alzheimer’s disease; Atrophy; Frontotemporal dementia

• Source: 2021 , ' Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia : a multi-rater, clinical accuracy study ' , European Radiology , vol. 31 , no. 7 , pp. 5312-5323 .

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Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia:a multi-rater, clinical accuracy study

Subjects: Alzheimer’s disease; Atrophy; Frontotemporal dementia

• Source: 2021 , ' Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia : a multi-rater, clinical accuracy study ' , European Radiology , vol. 31 , no. 7 , pp. 5312-5323 .

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