Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

Author:

Nalepa JakubORCID,Ribalta Lorenzo Pablo,Marcinkiewicz MichalORCID,Bobek-Billewicz Barbara,Wawrzyniak Pawel,Walczak Maksym,Kawulok MichalORCID,Dudzik WojciechORCID,Kotowski Krzysztof,Burda Izabela,Machura Bartosz,Mrukwa GrzegorzORCID,Ulrych Pawel,Hayball Michael P.

Funder

Polish National Centre for Research and Development

Silesian University of Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference89 articles.

1. Brain tumor detection by using artificial neural network;Abdalla;2018 international conference on computer, control, electrical, and electronics engineering (ICCCEEE),2018

2. Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with short acquisition time;Abe;Springer,2015

3. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data;Ahmed;IEEE Trans Med Imaging,2002

4. Deep learning for brain MRI segmentation: state of the art and future directions;Akkus;J Digital Imaging,2017

5. Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy;Aljabar;NeuroImage,2009

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