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Journal Articles

Analysis of recent techniques, issues, and challenges for MRI brain images

Chitra Palanichamy, Karthigai Selvi Sakthivelu, Nagaraja Perumal, Gayathri Sonachalam Pitchai, Lakshmanan Senthoorpandi, Shanmugavadivu Pitchai

AIP Conf. Proc. 2847, 050006 (2023)

https://doi.org/10.1063/5.0180440

Published: November 2023

View article titled, Analysis of recent techniques, issues, and challenges for MRI brain images

Journal Articles

A comparative analysis of various detection and classification modalities for Alzheimer’s disease diagnosis

Anwesha Baidya, Siddhi Chouthai, Swati Negi, Abel Jaba Deva Krupa, Samiappan Dhanalakshmi

AIP Conf. Proc. 2587, 070005 (2023)

https://doi.org/10.1063/5.0150537

Published: November 2023

View article titled, A comparative analysis of various detection and classification modalities for Alzheimer’s disease diagnosis

Journal Articles

Rapid identification or classification of Alzheimer’s disease using diverse modalities and AI techniques-a survey

T. Deenadayalan, S. P. Shantharajah

AIP Conf. Proc. 2587, 130002 (2023)

https://doi.org/10.1063/5.0150489

Published: November 2023

View article titled, Rapid identification or classification of Alzheimer’s disease using diverse modalities and AI techniques-a survey

Journal Articles

Brain tumor detection in MRI images using morphological watershed segmentation method to improve accuracy in comparison with threshold based segmentation method

K. Amrutha, Nanmaran

AIP Conf. Proc. 2587, 130026 (2023)

https://doi.org/10.1063/5.0150634

Published: November 2023

View article titled, Brain tumor detection in MRI images using morphological watershed segmentation method to improve accuracy in comparison with threshold based segmentation method

Journal Articles

Performance comparison of threshold segmentation algorithm with k-nearest neighbour for brain tumor detection

P. Manoj Kumar, V. Amudha

AIP Conf. Proc. 2821, 030031 (2023)

https://doi.org/10.1063/5.0159120

Published: November 2023

View article titled, Performance comparison of threshold segmentation algorithm with k-nearest neighbour for brain tumor detection

Journal Articles

Brain tumor detection using random forest algorithm in comparison with k-nearest neighbors algorithm to measure the accuracy, precision and recall

M. Sandeep, A. Deepak

AIP Conf. Proc. 2821, 050027 (2023)

https://doi.org/10.1063/5.0158397

Published: November 2023

View article titled, Brain tumor detection using random forest algorithm in comparison with k-nearest neighbors algorithm to measure the accuracy, precision and recall

Journal Articles

Innovative brain tumor detection in cerebrum to improve detection rate using convolutional neural network in comparison with artificial neural network

K. Gopisai, S. Adarsh Rag

AIP Conf. Proc. 2821, 060024 (2023)

https://doi.org/10.1063/5.0178991

Published: November 2023

View article titled, Innovative brain tumor detection in cerebrum to improve detection rate using convolutional neural network in comparison with artificial neural network

Journal Articles

Brain tumor detection using decision tree algorithm in comparison with artificial neural network algorithm to measure accuracy, precision and recall

M. Sandeep, A. Deepak

AIP Conf. Proc. 2821, 060026 (2023)

https://doi.org/10.1063/5.0158398

Published: November 2023

View article titled, Brain tumor detection using decision tree algorithm in comparison with artificial neural network algorithm to measure accuracy, precision and recall

Journal Articles

Pixel based brain tumor analysis through machine learning using linear regression comparing with image processing based grade classification

K. Veera Sekhar, S. Krishna Kumari

AIP Conf. Proc. 2587, 130027 (2023)

https://doi.org/10.1063/5.0179589

Published: November 2023

View article titled, Pixel based brain tumor analysis through machine learning using linear regression comparing with image processing based grade classification

Journal Articles

Performance evaluation of watershed segmentation algorithm for brain disease detection compared with threshold segmentation

Bathula Srikanth, Radhika Baskar

AIP Conf. Proc. 2587, 130029 (2023)

https://doi.org/10.1063/5.0152108

Published: November 2023

View article titled, Performance evaluation of watershed segmentation algorithm for brain disease detection compared with threshold segmentation

Journal Articles

Brain tumour image generation based on the deep convolutional generative adversarial network

Boyu Su

AIP Conf. Proc. 3017, 030009 (2023)

https://doi.org/10.1063/5.0174209

Published: November 2023

View article titled, Brain tumour image generation based on the deep convolutional generative adversarial network

Journal Articles

A study of tools, techniques and language for the implementation of algorithm for brain tumor detection

Sunil Kumar Agarwal, Yogesh Kumar Gupta

AIP Conf. Proc. 2963, 020007 (2023)

https://doi.org/10.1063/5.0183143

Published: November 2023

View article titled, A study of tools, techniques and language for the implementation of algorithm for brain tumor detection

Journal Articles

Brain tumor detection using enhanced kernel extreme learning with deep belief network and compare prediction accuracy with K-nearest neighbors

Vangireddy Vishnu Vardhan Reddy, P. S. Uma Priyadarsini

AIP Conf. Proc. 2822, 020034 (2023)

https://doi.org/10.1063/5.0172877

Published: November 2023

View article titled, Brain tumor detection using enhanced kernel extreme learning with deep belief network and compare prediction accuracy with K-nearest neighbors

Journal Articles

Innovative detection of brain tumor using support vector machine classifier and comparison with K-nearest neighbour classifier

M. Guru Karthik Reddy, P. Jagadeesh

AIP Conf. Proc. 2822, 020069 (2023)

https://doi.org/10.1063/5.0173033

Published: November 2023

View article titled, Innovative detection of brain tumor using support vector machine classifier and comparison with K-nearest neighbour classifier

Journal Articles

Comparison of accuracy on K-nearest neighbor and random forest algorithm based brain tumor detection in MRI images

V. Yogesh Reddy, Adimoolam, I. Sudha

AIP Conf. Proc. 2822, 020043 (2023)

https://doi.org/10.1063/5.0173997

Published: November 2023

View article titled, Comparison of accuracy on K-nearest neighbor and random forest algorithm based brain tumor detection in MRI images

Journal Articles

Innovative brain tumor detection technique using K-nearest neighbors and compared with support vector machine

K. Gopisai, S. Adarsh Rag

AIP Conf. Proc. 2822, 020194 (2023)

https://doi.org/10.1063/5.0178990

Published: November 2023

View article titled, Innovative brain tumor detection technique using K-nearest neighbors and compared with support vector machine

Journal Articles

Brain tumor detection with high accuracy using K-nearest neighbor comparing with thresholding method

G. Pallavi, K. Vidhya

AIP Conf. Proc. 2822, 020183 (2023)

https://doi.org/10.1063/5.0179821

Published: November 2023

View article titled, Brain tumor detection with high accuracy using K-nearest neighbor comparing with thresholding method

Journal Articles

A study on modeling the dopaminergic pathways of Parkinson’s disease

Ghosh Prabal, Sasidharan Rajeswari Sreeja, P. S. Rohit, Nair Manjusha

AIP Conf. Proc. 2917, 050008 (2023)

https://doi.org/10.1063/5.0175617

Published: November 2023

View article titled, A study on modeling the dopaminergic pathways of Parkinson’s disease

Journal Articles

Comparative network study for ischemic stroke classification

Fakhrul Razan Rahmad, Wan Nurshazwani Wan Zakaria, Ain Nazari, Mohd Razali Md Tomari, Anis Azwani Suberi, Nik Farhan Nik Fuad

AIP Conf. Proc. 2564, 020001 (2023)

https://doi.org/10.1063/5.0123144

Published: October 2023

View article titled, Comparative network study for ischemic stroke classification

Journal Articles

The identification of brain waves signal between a brain normally and brain injury (stroke)

Rosnee Ahad, K. A. A. Rahman, Mohamad Zaid Mustafa, Sri Sumarwati

AIP Conf. Proc. 2564, 050005 (2023)

https://doi.org/10.1063/5.0123736

Published: October 2023

View article titled, The identification of brain waves signal between a brain normally and brain injury (stroke)

NARROW

Topics

Analysis of recent techniques, issues, and challenges for MRI brain images

A comparative analysis of various detection and classification modalities for Alzheimer’s disease diagnosis

Rapid identification or classification of Alzheimer’s disease using diverse modalities and AI techniques-a survey

Brain tumor detection in MRI images using morphological watershed segmentation method to improve accuracy in comparison with threshold based segmentation method

Performance comparison of threshold segmentation algorithm with k-nearest neighbour for brain tumor detection

Brain tumor detection using random forest algorithm in comparison with k-nearest neighbors algorithm to measure the accuracy, precision and recall

Innovative brain tumor detection in cerebrum to improve detection rate using convolutional neural network in comparison with artificial neural network

Brain tumor detection using decision tree algorithm in comparison with artificial neural network algorithm to measure accuracy, precision and recall

Pixel based brain tumor analysis through machine learning using linear regression comparing with image processing based grade classification

Performance evaluation of watershed segmentation algorithm for brain disease detection compared with threshold segmentation

Brain tumour image generation based on the deep convolutional generative adversarial network

A study of tools, techniques and language for the implementation of algorithm for brain tumor detection

Brain tumor detection using enhanced kernel extreme learning with deep belief network and compare prediction accuracy with K-nearest neighbors

Innovative detection of brain tumor using support vector machine classifier and comparison with K-nearest neighbour classifier

Comparison of accuracy on K-nearest neighbor and random forest algorithm based brain tumor detection in MRI images

Innovative brain tumor detection technique using K-nearest neighbors and compared with support vector machine

Brain tumor detection with high accuracy using K-nearest neighbor comparing with thresholding method

A study on modeling the dopaminergic pathways of Parkinson’s disease

Comparative network study for ischemic stroke classification

The identification of brain waves signal between a brain normally and brain injury (stroke)

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