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

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 model to...

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Detalles Bibliográficos
Autores principales: Gunashekar, Deepa Darshini, Bielak, Lars, Hägele, Leonard, Oerther, Benedict, Benndorf, Matthias, Grosu, Anca-L., Brox, Thomas, Zamboglou, Constantinos, Bock, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976981/
https://www.ncbi.nlm.nih.gov/pubmed/35366918
http://dx.doi.org/10.1186/s13014-022-02035-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976981/
https://www.ncbi.nlm.nih.gov/pubmed/35366918
http://dx.doi.org/10.1186/s13014-022-02035-0

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