Bashir-Gonbadi et al., 2021 - Google Patents
Brain tumor classification using deep convolutional autoencoder-based neural network: Multi-task approachBashir-Gonbadi et al., 2021
- Document ID
- 1762702791766422008
- Author
- Bashir-Gonbadi F
- Khotanlou H
- Publication year
- Publication venue
- Multimedia tools and applications
External Links
Snippet
Diagnosis, detection and classification of tumors, in the brain MRI images, are important because misdiagnosis can lead to death. This paper proposes a method that can diagnose brain tumors in the MRI images and classify them into 5 categories using a Convolutional …
- 208000003174 Brain Neoplasms 0 title abstract description 41
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- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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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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- G06T2207/30004—Biomedical image processing
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- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
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