Identification and Classification of Brain Tumor Using Convolutional Neural Network with Autoencoder Feature Selection

M. Hema; Sowjanya; Niteesha Sharma; Abhishek Gudipalli; G. Shivani; P. Pavan Kumar

doi:10.1007/978-3-031-07012-9_22

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Identification and Classification of Brain Tumor Using Convolutional Neural Network with Autoencoder Feature Selection

M. Hema Sowjanya Niteesha Sharma Abhishek Gudipalli G. Shivani P. Pavan Kumar

Year: 2022 Communications in computer and information science Pages: 251-258 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-07012-9_22

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Keywords:

Convolutional neural network Computer science Artificial intelligence Autoencoder Pattern recognition (psychology) Feature selection Identification (biology) Feature (linguistics) Pooling Deep learning

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Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Identification and Classification of Brain Tumor Using Convolutional Neural Network with Autoencoder Feature Selection

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