Maharjan et al., 2020 - Google Patents
A novel enhanced softmax loss function for brain tumour detection using deep learningMaharjan et al., 2020
- Document ID
- 3839961965883656016
- Author
- Maharjan S
- Alsadoon A
- Prasad P
- Al-Dalain T
- Alsadoon O
- Publication year
- Publication venue
- Journal of neuroscience methods
External Links
Snippet
Abstract Background and Aim In deep learning, the sigmoid function is unsuccessfully used for the multiclass classification of the brain tumour due to its limit of binary classification. This study aims to increase the classification accuracy by reducing the risk of overfitting problem …
- 208000003174 Brain Neoplasms 0 title abstract description 62
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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- G06K9/46—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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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G—PHYSICS
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