Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathology

Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathology

Abstract Automatic prostate tumor segmentation is often unable to identify the lesion even if multi-parametric MRI data is used as input, and the segmentation output is difficult to verify due to the lack of clinically established ground truth images. In this work we use an explainable deep learning...

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Bibliographic Details
Main Authors: Deepa Darshini Gunashekar, Lars Bielak, Leonard Hägele, Benedict Oerther, Matthias Benndorf, Anca-L. Grosu, Thomas Brox, Constantinos Zamboglou, Michael Bock
Format: Article
Language:English
Published: BMC 2022-04-01
Series:Radiation Oncology
Subjects:
Convolutional neural network
Automatic prostate tumor segmentation
Histological validation
Online Access:https://doi.org/10.1186/s13014-022-02035-0

Internet

https://doi.org/10.1186/s13014-022-02035-0

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