Ram et al., 2022 - Google Patents
Brain tumor detection and classification using transfer learning techniqueRam et al., 2022
- Document ID
- 17912932654029926582
- Author
- Ram A
- Kuchulakanti H
- Raj T
- Publication year
- Publication venue
- Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC 2021
External Links
Snippet
Brain tumor detection is the most challenging task and important for judging brain tissues and building a diagnostic procedure for such a complex problem. There are several image processing tools for analyzing brain tumor images. But, it is an annoying task when there is a …
- 208000003174 Brain Neoplasms 0 title abstract description 33
Classifications
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- 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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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/46—Extraction of features or characteristics of the image
- G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
- G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
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- G06K9/6279—Classification techniques relating to the number of classes
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- G—PHYSICS
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