Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology

Sarah Montagne; Dimitri Hamzaoui; Alexandre Allera; Malek Ezziane; Anna Luzurier; R Quint; Mehdi Kalai; Nicholas Ayache; Hervé Delingette; Raphaële Renard‐Penna

doi:10.1186/s13244-021-01010-9

JOURNAL ARTICLE

Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology

Sarah Montagne Dimitri Hamzaoui Alexandre Allera Malek Ezziane Anna Luzurier R Quint Mehdi Kalai Nicholas Ayache Hervé Delingette Raphaële Renard‐Penna

Year: 2021 Journal: Insights into Imaging Vol: 12 (1)Pages: 71-71 Publisher: Springer Nature

DOI: 10.1186/s13244-021-01010-9

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Keywords:

Prostate Medicine Segmentation Prostate cancer Neuroradiology Magnetic resonance imaging Nuclear medicine Lobe Radiology Artificial intelligence Anatomy Computer science Cancer Internal medicine

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Prostate Cancer Diagnosis and Treatment

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Prostate Cancer Treatment and Research

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology

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