Jerman et al., 2017 - Google Patents
Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networksJerman et al., 2017
View PDF- Document ID
- 16364263807508920674
- Author
- Jerman T
- Pernus F
- Likar B
- Ĺ piclin Ĺ
- Publication year
- Publication venue
- 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017)
External Links
Snippet
Early and more sensitive detection of small aneurysms in 3D cerebral angiograms is required to prevent potentially fatal rupture events. Herein, we propose a novel method that entails structure enhancement filtering to highlight potential aneurysm locations, intra âŚ
- 206010002329 Aneurysm 0 title abstract description 48
Classifications
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- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20156—Automatic seed setting
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- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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