Impact of spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation and survival prediction

Carlo Russo*, Sidong Liu, Antonio Di Ieva

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Pre-processing and Data Augmentation play an important role in Deep Convolutional Neural Networks (DCNN). Whereby several methods aim for standardization and augmentation of the dataset, we here propose a novel method aimed to feed DCNN with spherical space transformed input data that could better facilitate feature learning compared to standard Cartesian space images and volumes. In this work, the spherical coordinates transformation has been applied as a preprocessing method that, used in conjunction with normal MRI volumes, improves the accuracy of brain tumor segmentation and patient overall survival (OS) prediction on Brain Tumor Segmentation (BraTS) Challenge 2020 dataset. The LesionEncoder framework has been then applied to automatically extract features from DCNN models, achieving 0.586 accuracy of OS prediction on the validation data set, which is one of the best results according to BraTS 2020 leaderboard.
Original languageEnglish
Title of host publicationBrainlesion: glioma, multiple sclerosis, stroke and traumatic brain injuries
Subtitle of host publication6th International Workshop, BrainLes 2020 held in conjunction with MICCAI 2020. Revised Selected Papers, Part I
EditorsAlessandro Crimi, Spyridon Bakas
Place of PublicationSwitzerland
PublisherSpringer, Springer Nature
Chapter27
Pages295-306
Number of pages12
ISBN (Electronic)9783030720841
ISBN (Print)9783030720834
DOIs
Publication statusPublished - Mar 2021
Event23rd International Conference on Medical Image Computing and Computer-Assisted Intervention: MICCAI 2020 - Virtual, Lima, Peru
Duration: 4 Oct 20208 Oct 2020

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12658
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Medical Image Computing and Computer-Assisted Intervention
CountryPeru
CityLima
Period4/10/208/10/20

Keywords

  • Deep Convolutional Neural Network
  • Polar transformation
  • Spherical coordinates
  • BraTS

Fingerprint

Dive into the research topics of 'Impact of spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation and survival prediction'. Together they form a unique fingerprint.

Cite this