"An Unsupervised Machine Learning Approach for Medical Image Analysis"

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Book	Author(s)	Year	Publisher
Face Image Analysis by Unsupervised Learning	Marian Stewart Bartlett	2001	Springer US
Hybrid Machine Intelligence for Medical Image Analysis	Siddhartha Bhattacharyya; Debanjan Konar; Jan Platos; Chinmoy Kar; Kalpana Sharma	1st ed. 2020	Springer Nature Singapore
Deep Learning for Medical Image Analysis	S. Kevin Zhou; Hayit Greenspan and Dinggang Shen	2017	Academic Press
Advanced Machine Vision Paradigms for Medical Image Analysis	Debanjan Konar; Sandip Dey; Siddhartha Bhattacharyya; Sourav De andTapan Gandhi	2020	Academic Press
Unsupervised Learning: A Dynamic Approach	Matthew Kyan; Paisarn Muneesawang; Kambiz Jarrah; Ling Guan	2014	Wiley-IEEE Press
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning	Taeho Jo	1st ed. 2021	Springer International Publishing
Advances in Deep Learning for Medical Image Analysis	Archana Mire; Vinayak Elangovan; Shailaja Patil	2022	Routledge
Semi-Supervised and Unsupervised Machine Learning: Novel Strategies	Amparo Albalate	2011	John Wiley & Sons
Machine Learning: An Artificial Intelligence Approach, Volume II (Machine Learning)	Ryszard S. Michalski; Jaime G. Carbonell; Tom M. Mitchell	January 1, 1986	Morgan Kaufmann
Machine Learning for Audio, Image and Video Analysis: Theory and Applications	Francesco Camastra; Alessandro Vinciarelli	2nd ed. 2015	Springer London
Machine Learning for Audio, Image and Video Analysis: Theory and Applications	Francesco Camastra; Alessandro Vinciarelli	2008	Springer London
Machine Learning: An Artificial Intelligence Approach	R.S. Michalski; J.G. Carbonell; T.M. Mitchell	1983	Springer Berlin Heidelberg
Machine Learning: An Artificial Intelligence Approach	Ryszard S. Michalski	July 1984	Springer
Advancement of Machine Intelligence in Interactive Medical Image Analysis	Om Prakash Verma; Sudipta Roy; Subhash Chandra Pandey; Mamta Mittal	1st ed. 2020	Springer Nature Singapore
Natural Computing for Unsupervised Learning	Xiangtao Li; Ka-Chun Wong	1st ed. 2019	Springer International Publishing
Medical Image Analysis	Atam P. Dhawan	2011	Wiley-IEEE Press
Medical image analysis	Atam P. Dhawan	2011	Wiley-Blackwell
Medical image analysis /	Dhawan, Atam P.	c2003.	IEEE Press,
Microarray Image Analysis: An Algorithmic Approach	Karl Fraser; Zidong Wang; Xiaohui Liu	2010	Routledge
Machine Learning for Smart Environments/Cities: An IoT Approach	Gonçalo Marques; Alfonso González-Briones; José Manuel Molina López	1st ed. 2022	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
An Unsupervised Machine Learning Approach for Medical Image Analysis	Mauro Mazzei	Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Volume 2	Kohei Arai	1st ed. 2021	Springer International Publishing
An Empirical Analysis of Unsupervised Learning Approach on Medical Databases	Ritu Chauhan; Harleen Kaur; Roma Puri	Emerging Trends in Electrical, Communications and Information Technologies: Proceedings of ICECIT-2015	Kapila Rohan Attele; Amit Kumar; V. Sankar; N. V. Rao; T. Hitendra Sarma	1st ed. 2017	Springer Nature Singapore
Multiple Kernel-Learning Approach for Medical Image Analysis	Nisar Wani; Khalid Raza	Soft Computing Based Medical Image Analysis	Nilanjan Dey; Amira S. Ashour; Fuquian Shi and Valentina E. Balas	2018	Academic Press
Medical Image Analysis Using Machine Learning Techniques	Mustafa A. Al-Asadi; Sakir Tasdemİr	Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems	Om Prakash Jena; Bharat Bhushan; Nitin Rakesh; Parma Nand Astya; Yousef Farhaoui	2022	Routledge
A Machine Learning Approach in Medical Image Analysis for Brain Tumor Detection	K. Aswani; D. Menaka; M. K. Manoj	Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2019	Sheng-Lung Peng; Le Hoang Son; G. Suseendran; D. Balaganesh	1st ed. 2020	Springer Nature Singapore
Unsupervised Machine Learning	Umesh R. Hodeghatta; Umesh Nayak	Business Analytics Using R - A Practical Approach	Umesh R Hodeghatta; Umesha Nayak	1st ed.	Apress
Unsupervised Machine Learning	R. Gentleman; V. J. Carey	Bioconductor Case Studies	Florian Hahne; Wolfgang Huber; Robert Gentleman; Seth Falcon	2008	Springer New York
Unsupervised Machine Learning	Pak Chung Wong	Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment: With Examples in R and Python	Alina A. von Davier; Robert J. Mislevy; Jiangang Hao	1st ed. 2021	Springer International Publishing
Unsupervised machine learning		IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools (English Edition)	Arindam Ganguly	2021	BPB Publications
Unsupervised machine learning		Microsoft Azure Essentials Azure Machine Learning
Unsupervised Machine Learning		Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.	Josh Hugh Learning	2019
Unsupervised machine learning		Java for data science: examine the techniques and Java tools supporting the growing field of data science	Reese, Jennifer L.; Reese, Richard M	2017	Packt Publishing
Unsupervised Machine Learning		Python: deeper insights into machine learning: leverage benefits of machine learning techniques using Python: a course in three modules	Raschka, Sebastian; Julian, David; Hearty, John	2016	Packt Publishing
Unsupervised machine learning		Practical Big Data Analytics	Nataraj Dasgupta	2018	Packt Publishing
Unsupervised Machine Learning		The Political Logics of Anticorruption Efforts in Asia	Cheng Chen and Meredith L. Weiss	2019	State University of New York Press
Unsupervised machine learning		Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7	Alberto Fernandez Villan	2019	Packt Publishing
Unsupervised Machine Learning		Advanced machine learning with Python: solve challenging data science problems by mastering cutting-edge machine learning techniques in Python /	Hearty, John,		Packt Publishing - ebooks Account
Unsupervised machine learning.		R for data science cookbook: over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques /	Chiu, David.		Packt Publishing, Limited
Machine Learning (Unsupervised)	Shailesh Kumar	Essentials of Business Analytics: An Introduction to the Methodology and its Applications	Bhimasankaram Pochiraju; Sridhar Seshadri	1st ed. 2019	Springer International Publishing
Unsupervised Machine Learning	Pramod Singh	Learn PySpark: Build Python-based Machine Learning and Deep Learning Models	Pramod Singh	1st ed.	Apress
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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