Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network

Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network

Understanding brain diseases such as categorizing Brain-Tumor (BT) is critical to assess the tumors and facilitate the patient with proper cure as per their categorizations. Numerous imaging schemes exist for BT detection, such as Magnetic Resonance Imaging (MRI), generally utilized because of the b...

Full description

Bibliographic Details
Main Authors:	Muhammad Rizwan, Aysha Shabbir, Abdul Rehman Javed, Maryam Shabbir, Thar Baker, Dhiya Al-Jumeily Obe
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Access
Subjects:	Deep learning brain tumor classification Gaussian convolutional neural network
Online Access:	https://ieeexplore.ieee.org/document/9718069/

Similar Items

Classification of cassava leaf diseases using deep Gaussian transfer learning model
by: Ahishakiye Emmanuel, et al.
Published: (2023-09-01)

Noninvasive Grading of Glioma Tumor Using Magnetic Resonance Imaging with Convolutional Neural Networks
by: Saed Khawaldeh, et al.
Published: (2017-12-01)

MGFN: A Multi-Granularity Fusion Convolutional Neural Network for Remote Sensing Scene Classification
by: Zhiguo Zeng, et al.
Published: (2021-01-01)

Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images
by: B. Subha, et al.
Published: (2024-03-01)

Discriminative Gaussian Process Latent Variable Model for Classification
by: Urtasun, Raquel, et al.
Published: (2007)

Adaptive Dimensional Gaussian Mutation of PSO-Optimized Convolutional Neural Network Hyperparameters
by: Chaoxue Wang, et al.
Published: (2023-03-01)

Rate-compatible LDPC convolutional codes over non-gaussian noise channel
by: Liu Qiang
Published: (2020-01-01)

Cloud-based multiclass anomaly detection and categorization using ensemble learning
by: Faisal Shahzad, et al.
Published: (2022-11-01)

Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier
by: Guangnian Xiao, et al.
Published: (2019-01-01)

Exploring Sparse Gaussian Processes for Bayesian Optimization in Convolutional Neural Networks for Autism Classification
by: Suresh Cheekaty, et al.
Published: (2024-01-01)

Gaussian transformation enhanced semi-supervised learning for sleep stage classification
by: Yifan Guo, et al.
Published: (2023-05-01)

Gear Integrated Error Determination Using the Gaussian Template Convolution-Facet Method
by: Yiming Fang, et al.
Published: (2024-01-01)

Voting-Based Deep Convolutional Neural Networks (VB-DCNNs) for M-QAM and M-PSK Signals Classification
by: Muhammad Talha, et al.
Published: (2023-04-01)

Image Impulse Noise Removal Using Cascaded Filtering Based on Overlapped Adaptive Gaussian Smoothing and Convolutional Refinement Networks
by: Yan-Tsung Peng, et al.
Published: (2021-01-01)

Gaussian mixture model and Markov random fields for hyperspectral image classification
by: Hamid Ghanbari, et al.
Published: (2018-01-01)

Timely Classification and Verification of Network Traffic Using Gaussian Mixture Models
by: Hassan Alizadeh, et al.
Published: (2020-01-01)

G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection
by: Liping Hou, et al.
Published: (2023-01-01)

SNR‐dependent drone classification using convolutional neural networks
by: Holly Dale, et al.
Published: (2022-01-01)

Comparison of the classification methods for the images modeled by Gaussian random fields
by: Lijana Stabingienė, et al.
Published: (2011-12-01)

Sentiment Classification Using Convolutional Neural Networks
by: Hannah Kim, et al.
Published: (2019-06-01)

S-TRANSFORM AND GAUSSIAN MIXTURE MODEL FOR ACOUSTIC SCENE CLASSIFICATION
by: Santosh Kumar Srivastava
Published: (2020-06-01)

Hyperspectral Classification of Two-Branch Joint Networks Based on Gaussian Pyramid Multiscale and Wavelet Transform
by: Yigang Tang, et al.
Published: (2022-01-01)

Classification of durian maturity using a convolutional neural network
by: Yingyos Thipsrirach, et al.
Published: (2023-05-01)

Classification for Papaya Fruit Maturity Level with Convolutional Neural Network
by: Nurmalasari Nurmalasari, et al.
Published: (2023-06-01)

An Experimental Study of Convolutional Neural Networks for Functional and Subject Classification of Web Pages
by: Codruţ-Georgian Artene, et al.
Published: (2022-11-01)

Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer
by: Bijen Khagi, et al.
Published: (2021-01-01)

Dilated Spectral–Spatial Gaussian Transformer Net for Hyperspectral Image Classification
by: Zhenbei Zhang, et al.
Published: (2024-01-01)

Antenna Classification Using Gaussian Mixture Models (GMM) and Machine Learning
by: Yihan Ma, et al.
Published: (2020-01-01)

Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression
by: Guolong Zhang, et al.
Published: (2019-05-01)

Hybrid Mamdani Fuzzy Rules and Convolutional Neural Networks for Analysis and Identification of Animal Images
by: Hind R. Mohammed, et al.
Published: (2021-03-01)

Superiority of quadratic over conventional neural networks for classification of gaussian mixture data
by: Tianrui Qi, et al.
Published: (2022-09-01)

Hybrid FWF Model For Gaussian Noise Reduction From Images
by: Lubna Farhi, et al.
Published: (2020-07-01)

SFFNet: Staged Feature Fusion Network of Connecting Convolutional Neural Networks and Graph Convolutional Neural Networks for Hyperspectral Image Classification
by: Hao Li, et al.
Published: (2024-03-01)

Gaussian basis sets for molecular calculations /
by: Huzinaga, S.
Published: (1984)

Review of Image Classification Algorithms Based on Convolutional Neural Networks
by: Leiyu Chen, et al.
Published: (2021-11-01)

Predictive classification using mixtures of normal distributions
by: Salazar, R, et al.
Published: (1998)

Gas Classification Using Deep Convolutional Neural Networks
by: Pai Peng, et al.
Published: (2018-01-01)

Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification
by: Gongqing Wu, et al.
Published: (2019-01-01)

Exponential-Gaussian Distribution and Associated Time Series Models
by: Nitha K.U, et al.
Published: (2023-11-01)

Image retrieval and classification using Gaussian probability density function /
by: Ng, Erlynda Tze-Ling, 1987-, et al.
Published: (2010)