Convolutional neural networks for brain tumour segmentation

Insights Into Imaging
Abhishta BhandariMarc Agzarian

Abstract

The introduction of quantitative image analysis has given rise to fields such as radiomics which have been used to predict clinical sequelae. One growing area of interest for analysis is brain tumours, in particular glioblastoma multiforme (GBM). Tumour segmentation is an important step in the pipeline in the analysis of this pathology. Manual segmentation is often inconsistent as it varies between observers. Automated segmentation has been proposed to combat this issue. Methodologies such as convolutional neural networks (CNNs) which are machine learning pipelines modelled on the biological process of neurons (called nodes) and synapses (connections) have been of interest in the literature. We investigate the role of CNNs to segment brain tumours by firstly taking an educational look at CNNs and perform a literature search to determine an example pipeline for segmentation. We then investigate the future use of CNNs by exploring a novel field-radiomics. This examines quantitative features of brain tumours such as shape, texture, and signal intensity to predict clinical outcomes such as survival and response to therapy.

References

Mar 26, 2010·European Journal of Nuclear Medicine and Molecular Imaging·Habib Zaidi, Issam El Naqa
Nov 26, 2010·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·Stefan BauerMauricio Reyes
Dec 3, 2011·Magnetic Resonance Imaging·Geng-Cheng LinChuin-Mu Wang
Nov 19, 2015·Scientific Reports·Emmanuel Rios VelazquezHugo J W L Aerts
Mar 10, 2016·IEEE Transactions on Medical Imaging·Sergio PereiraCarlos A Silva
Jun 17, 2016·Medical Image Analysis·Mohammad HavaeiHugo Larochelle
Dec 25, 2016·International Journal of Radiation Oncology, Biology, Physics·Christopher J LopezRadka Stoyanova
Jun 24, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Kyong Hwan JinMichael Unser
Jun 24, 2018·Insights Into Imaging·Rikiya YamashitaKaori Togashi
Nov 13, 2018·Computer Methods and Programs in Biomedicine·Mostefa Ben NaceurRostom Kachouri

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Methods Mentioned

BETA
feature extraction
feature extractions

Software Mentioned

FracLac
Visually AcceSAble Images ( VASARI
Scopus
TwoPathCNN

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