Robust spatial information based tumour detection for brain MR images

Multimodal brain MR image analysis is still a challenging research area due to its complex intensity distribution and sensitivity towards the noise. Tumourous cells have different characteristics than normal human cells, which makes them more salient. In this Letter, the authors propose a novel unsu...

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Veröffentlicht in:	Electronics letters Jg. 56; H. 25; S. 1398 - 1400
Hauptverfasser:	Maharana, A, Patra, D, Pradhan, S
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 10.12.2020
Schlagworte:	axis ratio biomedical MRI brain CIELab colour space complex intensity distribution computational complexity elliptical windows image colour analysis input images intensity value medical image processing MICCAI‐BRATS database multimodal brain MR image analysis normal human cells object detection performance analysis pseudocoloured MR image robust spatial information based tumour detection saliency map simulated brain images spatial space Special Issue: Current Trends in Cognitive Science and Brain Computing Research and Applications tumourous cells tumours unsupervised spatial information based saliency biomedical MRI spatial space pseudocoloured MR image robust spatial information based tumour detection multimodal brain MR image analysis complex intensity distribution unsupervised spatial information based saliency saliency map object detection brain tumourous cells elliptical windows CIELab colour space simulated brain images intensity value normal human cells axis ratio input images image colour analysis tumours medical image processing performance analysis computational complexity MICCAI-BRATS database
ISSN:	0013-5194, 1350-911X, 1350-911X
Online-Zugang:	Volltext
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