Deep learning for automatic prostate segmentation in 3D ultrasound

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Open Forum on Machine Learning in Prostate Cancer

Presenter:

Nathan Orlando

Abstract:

Nathan discussed the development and validation of a generalizable and efficient deep learning method for automatic prostate segmentation in 3D ultrasound, compared performance to state of the art algorithms and explored the impact of dataset size and diversity on segmentation performance.

Modality:

  • US

Organ:

  • Prostate

Disease:

  • Cancer
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