"Classification and Validation of MRI Brain Tumor Using Optimised Machine Learning Approach"

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Book	Author(s)	Year	Publisher
Brain Tumor MRI Image Segmentation Using Deep Learning Techniques	Jyotismita Chaki	2021	Academic Press
Machine learning, neural and statistical classification /	Michie, Donald.; Spiegelhalter, D. J.; Taylor, C. C.,	1994.	Prentice Hall,
Machine Learning Using R	Karthik Ramasubramanian; Abhishek Singh	1st ed.	Apress
Machine Learning using Python	Manaranjan Pradhan	2019	WILEY INDIA
Fundamentals of MRI: An Interactive Learning Approach	Elizabeth Berry; Andrew J. Bulpitt	2008	Routledge
Signal processing and machine learning for brain-machine interfaces	Tanaka, Toshihisa(Editor); Arvaneh, Mahnaz(Editor)	2018	The Institution of Engineering and Technology
Fundamentals of Machine Learning using Python	Euan Russano, Elaine Ferreira Avelino	2019	Arcler Press
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques	Rik Das	2020	Routledge
Brain Seizure Detection and Classification Using EEG Signals	Varsha Harpale and Vinayak Bairagi	2021	Academic Press
Document Processing Using Machine Learning	Sk Md Obaidullah; KC Santosh; Teresa Goncalves; Nibaran Das; Kaushik Roy	2019	Routledge
Brain Imaging with MRI and CT: An Image Pattern Approach	Zoran Rumboldt; Mauricio Castillo; Benjamin Huang; Andrea Rossi	2012-11	Cambridge University Press
Brain Tumor Biology	M.L. Rosenblum; C.B. Wilson	2015-01-01	S. Karger AG
Brain Tumor Therapy	M.L. Rosenblum; C.B. Wilson	2015-01-01	S. Karger AG
Brain Tumor Imaging	Elke Hattingen; Ulrich Pilatus	1st ed. 2016	Springer Berlin Heidelberg
Brain Tumor Invasiveness	Ronald H. Goldfarb	1994	Springer US
Brain Tumor Imaging	Rajan Jain, Marco Essig	2015	Thieme
Brain Tumor Immunotherapy	Linda M. Liau; Donald P. Becker; Timothy F. Cloughesy; Darell D. Bigner	2001	Humana Press
Empirical Approach to Machine Learning	Plamen P. Angelov; Xiaowei Gu	1st ed. 2019	Springer International Publishing
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	©1998.	MIT Press,
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	[1998], ©1998.	MIT Press,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Classification and Validation of MRI Brain Tumor Using Optimised Machine Learning Approach	Prabhpreet Kaur; Gurvinder Singh; Parminder Kaur	ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications	Amit Kumar; Marcin Paprzycki; Vinit Kumar Gunjan	1st ed. 2020	Springer Nature Singapore
An Ensemble Learning Approach for Brain Tumor Classification Using MRI	Ranjeet Kaur; Amit Doegar; Gaurav Kumar Upadhyaya	Soft Computing: Theories and Applications: Proceedings of SoCTA 2020, Volume 1	Tarun K. Sharma; Chang Wook Ahn; Om Prakash Verma; Bijaya Ketan Panigrahi	1st ed. 2022	Springer Nature Singapore
Brain Tumor Detection and Classification Using Machine Learning	Pritanjli; Amit Doegar	Recent Trends in Communication and Intelligent Systems: Proceedings of ICRTCIS 2019	Harish Sharma; Aditya Kumar Singh Pundir; Neha Yadav; Ajay Sharma; Swagatam Das	1st ed. 2020	Springer Nature Singapore
Detection of Brain Tumor Using Machine Learning Approach	Chadha Megha; Jain Sushma	Advances in Computing and Data Sciences: Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part I	Mayank Singh; P.K. Gupta; Vipin Tyagi; Jan Flusser; Tuncer Ören; Rekha Kashyap	1st ed. 2019	Springer Nature Singapore
Multi Classification of Brain Tumor Detection Using MRI Images: Deep Learning Approach	Rushikesh Bedagkar; Amit D. Joshi; Suraj T. Sawant	Evolution in Computational Intelligence: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021)	Vikrant Bhateja; Jinshan Tang; Suresh Chandra Satapathy; Peter Peer; Ranjita Das	1st ed. 2022	Springer Nature Singapore
Brain Tumor Classification in MRI Images Using Transfer Learning	Aaditya Pundir; Er. Rajeev Kumar	Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications	Pardeep Kumar; Amit Kumar Singh	1st ed. 2021	Springer Nature Singapore
An Interactive Machine Learning Approach for Brain Tumor MRI Segmentation	Sachikanta Dash; Rajendra Kumar Das; Subhankar Guha; Surendra Nath Bhagat; G. K. Behera	Advances in Intelligent Computing and Communication: Proceedings of ICAC 2020	Swagatam Das; Mihir Narayan Mohanty	1st ed. 2021	Springer Nature Singapore
Detection and Classification of Brain Tumor Using MRI Images	Rahul Koli; Sahil Lotya; Prasad Govekar; Karan Sachdev; Gresha Bhatia	ICT Analysis and Applications	Simon Fong; Nilanjan Dey; Amit Joshi	1st ed. 2022	Springer Nature Singapore
Brain Tumor Classification Using Deep Learning	Vishal K. Waghmare; Maheshkumar H. Kolekar	Internet of Things for Healthcare Technologies	Chinmay Chakraborty; Amit Banerjee; Maheshkumar H. Kolekar; Lalit Garg; Basabi Chakraborty	1st ed. 2021	Springer Nature Singapore
Detection and Classification of Different Stages of Benign and Malignant Tumor of MRI Brain Using Machine Learning	K. Srisabarimani; R. Arthi; Nikita Parihar; Kannu Priya; Saundrya Nair	Advances in Power Systems and Energy Management: Select Proceedings of ETAEERE 2020	Neeraj Priyadarshi; Sanjeevikumar Padmanaban; Ranjan Kumar Ghadai; Amiya Ranjan Panda; Ranjeeta Patel	1st ed. 2021	Springer Nature Singapore
Classification of Brain Tumor in Mri Images Using Features	Neelam Sobha Rani; N. V. Muthu Lakshmi	Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2	S. Jyothi; D. M. Mamatha; Suresh Chandra Satapathy; K. Srujan Raju; Margarita N. Favorskaya	1st ed. 2020	Springer International Publishing
Classification of Brain Tumor MR Images Using Transfer Learning and Machine Learning Models	LillyMaheepa Pavuluri; Malaya Kumar Nath	Computer Vision and Image Processing: 6th International Conference, CVIP 2021, Rupnagar, India, December 3–5, 2021, Revised Selected Papers, Part I	Balasubramanian Raman; Subrahmanyam Murala; Ananda Chowdhury; Abhinav Dhall; Puneet Goyal	1st ed. 2022	Springer International Publishing
Classification of Brain MRI Using Deep Learning Techniques	Pallabi Sharma; Imayanmosha Wahlang; Sugata Sanyal; Arnab Kumar Maji	Soft Computing: Theories and Applications: Proceedings of SoCTA 2018	Millie Pant; Tarun K. Sharma; Om Prakash Verma; Rajesh Singla; Afzal Sikander	1st ed. 2020	Springer Nature Singapore
545 Brain Tumor MRI Image Classification		Artificial Intelligence Programming with Python from Zero to Hero	Perry Xiao	2022	John WIley
Automatic Detection and Classification of Enhanced Brain Tumor Using Machine Learning Algorithm	Poulomi Das; Arpita Das	Computers and Devices for Communication: Proceedings of CODEC 2019	Nikhil Ranjan Das; Santu Sarkar	1st ed. 2021	Springer Nature Singapore
Poem Classification Using Machine Learning Approach	Vipin Kumar; Sonajharia Minz	Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012	B. V. Babu; Atulya Nagar; Kusum Deep; Millie Pant; Jagdish Chand Bansal; Kanad Ray; Umesh Gupta	2014	Springer India
Data Classification Using Machine Learning Approach	Shekhar Pandey; Supriya M; Abhilash Shrivastava	Intelligent Systems Technologies and Applications	Sabu M. Thampi; Sushmita Mitra; Jayanta Mukhopadhyay; Kuan-Ching Li; Alex Pappachen James; Stefano Berretti	1st ed. 2018	Springer International Publishing
Brain Tumor Detection and Classification of MRI Brain Images Using Morphological Operations	Mavis Gezimati; Munyaradzi C. Rushambwa; J. B. Jeeva	ICTMI 2017: Proceedings of the International Conference on Translational Medicine and Imaging	Balázs Gulyás; Parasuraman Padmanabhan; A. Lenin Fred; T. R. Santhosh Kumar; Sundramurthy Kumar	1st ed. 2019	Springer Nature Singapore
Automatic Brain Tumor Classification in 2D MRI Images Using Integrated Deep Learning and Supervised Machine Learning Techniques	J. Glory Precious; S. P. Angeline Kirubha; I. Keren Evangeline	Intelligent Vision in Healthcare	Mukesh Saraswat; Harish Sharma; Karm Veer Arya	1st ed. 2022	Springer Nature Singapore
Brain Tumor Analysis and Reconstruction Using Machine Learning	Priyanka Sharma; Dinesh Goyal; Neeraj Tiwari	Congress on Intelligent Systems: Proceedings of CIS 2021, Volume 1	Mukesh Saraswat; Harish Sharma; K. Balachandran; Joong Hoon Kim; Jagdish Chand Bansal	1st ed. 2022	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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