Classification of Brain Tumor by Convolution Neural Networks

Information and Communication Technology for Competitive Strategies (ICTCS 2020) - Lecture Notes in Networks and Systems ◽

10.1007/978-981-16-0882-7_7 ◽

2021 ◽

pp. 105-111

Author(s):

Madhuri Pallod ◽

M. V. Vaidya

Keyword(s):

Neural Networks ◽

Brain Tumor ◽

Convolution Neural Networks

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Early Detection of Brain Tumor and Classification of MRI Images Using Convolution Neural Networks

Innovations in Computer Science and Engineering - Lecture Notes in Networks and Systems ◽

10.1007/978-981-13-7082-3_49 ◽

2019 ◽

pp. 427-436

Author(s):

Kumbham Bhargavi ◽

Jangam J. S. Mani

Keyword(s):

Neural Networks ◽

Brain Tumor ◽

Early Detection ◽

Convolution Neural Networks

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Classification of Kannada Hand Written Alphabets Using Multi-class Support Vector Machine with Convolution Neural Networks

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_40 ◽

2021 ◽

pp. 455-463

Author(s):

Kusumika Krori Dutta ◽

Aniruddh Herle ◽

Lochan Appanna ◽

A. Tushar ◽

K. Tejaswini

Keyword(s):

Neural Networks ◽

Support Vector Machine ◽

Support Vector ◽

Convolution Neural Networks

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Deep Convolution Neural Networks for the Classification of Robot Execution Failures

2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) ◽

10.1109/safeprocess45799.2019.9213393 ◽

2019 ◽

Author(s):

Ying Liu ◽

Xiuqing Wang ◽

Xuemei Ren ◽

Feng Lyu

Keyword(s):

Neural Networks ◽

Convolution Neural Networks

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Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-72084-1_27 ◽

2021 ◽

pp. 295-306 ◽

Cited By ~ 1

Author(s):

Carlo Russo ◽

Sidong Liu ◽

Antonio Di Ieva

Keyword(s):

Neural Networks ◽

Brain Tumor ◽

Tumor Segmentation ◽

Survival Prediction ◽

Spherical Coordinates ◽

Brain Tumor Segmentation ◽

Convolution Neural Networks ◽

Coordinates Transformation

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Semantic Segmentation Using Deep Learning for Brain Tumor MRI via Fully Convolution Neural Networks

Information and Communication Technology for Intelligent Systems - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-13-1742-2_2 ◽

2018 ◽

pp. 11-19 ◽

Cited By ~ 4

Author(s):

Sanjay Kumar ◽

Ashish Negi ◽

J. N. Singh

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Brain Tumor ◽

Semantic Segmentation ◽

Convolution Neural Networks ◽

Tumor Mri

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Recurrent convolution neural networks for classification of protein-protein interaction articles from biomedical literature

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) ◽

10.1109/icrcicn.2017.8234505 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sabenabanu Abdulkadhar ◽

Gurusamy Murugesan ◽

Jeyakumar Natarajan

Keyword(s):

Neural Networks ◽

Protein Interaction ◽

Biomedical Literature ◽

Convolution Neural Networks ◽

Protein Protein Interaction

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Classification of Synthetic Aperture Radar-Ground Range Detected Image Using Advanced Convolution Neural Networks

Remote Sensing in Earth Systems Sciences ◽

10.1007/s41976-020-00042-x ◽

2021 ◽

Author(s):

Battula Balnarsaiah ◽

T. S. Prasad ◽

Parayitam Laxminarayana

Keyword(s):

Neural Networks ◽

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Convolution Neural Networks ◽

Aperture Radar

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Using Convolution Neural Networks Pattern for Classification of Motor Imagery in BCI System

Lecture Notes in Electrical Engineering - Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019 ◽

10.1007/978-981-15-5281-6_48 ◽

2020 ◽

pp. 683-692

Author(s):

Sepideh Zolfaghari ◽

Tohid Yousefi Rezaii ◽

Saeed Meshgini ◽

Ali Farzamnia

Keyword(s):

Neural Networks ◽

Motor Imagery ◽

Convolution Neural Networks ◽

Bci System

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Classification of Brain Tumor from Magnetic Resonance Imaging using Convolutional Neural Networks

International Journal of Advanced Science and Technology ◽

10.33832/ijast.2019.126.04 ◽

2019 ◽

Vol 126 ◽

pp. 31-38

Author(s):

Mohammed-Amine Zyad ◽

Mohamed Gouskir ◽

Belaid Bouikhalene

Keyword(s):

Magnetic Resonance Imaging ◽

Neural Networks ◽

Brain Tumor ◽

Magnetic Resonance ◽

Convolutional Neural Networks ◽

Resonance Imaging

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Classification of Nonalcoholic Fatty Liver Texture Using Convolution Neural Networks

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) ◽

10.1109/healthcom.2018.8531193 ◽

2018 ◽

Author(s):

D Santhosh Reddy ◽

R Bharath ◽

P Rajalakshmi

Keyword(s):

Neural Networks ◽

Fatty Liver ◽

Nonalcoholic Fatty Liver ◽

Convolution Neural Networks

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