Multi-scale cross spectral coherence and phase spectral distribution based measurement in non-subsampled shearlet domain for classification of brain tumors

Author:

Das Poulomi,Das ArpitaORCID

Funder

Science and Engineering Research Board

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks;Afshar;IEEE Signal Processing Letters,2020

2. Fuzzy anisotropic diffusion based segmentation and texture based ensemble classification of brain tumor;Ain;Applied Soft Computing,2014

3. Baid, U.,Ghodasara, S., Bilello, M., Mohan, S., Calabrese, E., Colak, E., Farahani, K., Kalpathy-Cramer, J., Kitamura, F.C., Pati, S., et al. (2021).The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. arXiv:2107.02314.10.48550/arXiv.2107.02314.

4. A Novel Extended Kalman Filter with Support Vector Machine Based Method for the Automatic Diagnosis and Segmentation of Brain Tumors;Chen;Computer Methods and Programs in Biomedicine,2021

5. Fuzzy c-means clustering with spatial information for image segmentation;Chuang;Comput. Med. Imag. Graph.,2006

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