"Early Detection of Breast Cancer Using Machine Learning"

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Book	Author(s)	Year	Publisher
Early Detection of Breast Cancer	S. Brünner; B. Langfeldt; P. E. Andersen	1984	Springer Berlin Heidelberg
Early detection of breast cancer	B. Langfeldt	1984	Springer-Verlag
Detection and treatment of early breast cancer	Ian Fentiman	1990	Dunitz
Moving Objects Detection Using Machine Learning	Navneet Ghedia; Chandresh Vithalani; Ashish M. Kothari; Rohit M. Thanki	1st ed. 2022	Springer International Publishing
Breast Cancer Risk Reduction and Early Detection	Edward R. Sauter; Mary B. Daly	2010	Springer US
Artificial Intelligence in Breast Cancer Early Detection and Diagnosis	Khalid Shaikh; Sabitha Krishnan; Rohit Thanki	1st ed. 2021	Springer International Publishing
Breast Cancer: Psycho-Social Aspects of Early Detection and Treatment	P.C. Brand; P.A. van Keep	1978	Springer Netherlands
Advances in Breast Cancer Detection	Sam Brünner; Bent Langfeldt	1990	Springer Berlin Heidelberg
Advances in breast cancer detection	B. Langfeldt	1990	Springer-Verlag
Detection and treatment of breast cancer	Ian S. Fentiman	1998	Martin Dunitz
Management of Early Breast Cancer	New Zealand Guidelines Group	2009	New Zealand Guidelines Group
Mammography and beyond: developing technologies for the early detection of breast cancer /	Nass, Sharyl J.; Henderson, I. Craig.; Lashof, Joyce C.	[2001], ©2001.	National Academy Press,
Cancer Diagnosis: Early Detection	Peter Bannasch	1992	Springer Berlin Heidelberg
Breast Cancer Survivorship: Consequences of early breast cancer and its treatment	Alistair Ring; Marina Parton	1st ed. 2017	Springer International Publishing
Psychological Aspects of Early Breast Cancer	Colette Ray; Michael Baum	1985	Springer New York
Psychological aspects of early breast cancer	Colette Ray	1985	Springer-Verlag
Fast Facts: Early Breast Cancer	Jayant S. Vaidya; Vivek Patkar	2016-12-01	S. Karger AG
Machine Learning Using R	Karthik Ramasubramanian; Abhishek Singh	1st ed.	Apress
Machine Learning using Python	Manaranjan Pradhan	2019	WILEY INDIA
Breast cancer: psycho-social aspects of early detection and treatment: a workshop meeting report	Pieter A. van Keep	1978	University Park Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Early Detection of Breast Cancer Using Machine Learning	G. Lavanya; G. Thilagavathi	Medical Imaging and Health Informatics	K. Sarat Kumar; Svetlin Antonov; Tushar H. Jaware; Ravindra D. Badgujar	2022	John Wiley & Sons
Breast Cancer Detection Using Machine Learning	A. Sivasangari; P. Ajitha; Bevishjenila; J. S. Vimali; Jithina Jose; S. Gowri	Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2021	Subarna Shakya; Robert Bestak; Ram Palanisamy; Khaled A. Kamel	1st ed. 2022	Springer Nature Singapore
Breast Cancer Detection Using Machine Learning Algorithms	Kapil Tajane; Siddhesh Sheth; Rushikesh Satale; Tanmay Tumbare; Omkar Panchal	Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 1	Atulya K. Nagar; Dharm Singh Jat; Gabriela Marín-Raventós; Durgesh Kumar Mishra	1st ed. 2022	Springer Nature Singapore
Classification and Detection of Breast Cancer Using Machine Learning	Rekh Ram Janghel; Lokesh Singh; Satya Prakash Sahu; Chandra Prakash Rathore	Social Networking and Computational Intelligence: Proceedings of SCI-2018	Rajesh Kumar Shukla; Jitendra Agrawal; Sanjeev Sharma; Narendra S. Chaudhari; K. K. Shukla	1st ed. 2020	Springer Nature Singapore
Predicting Breast Cancer Using Machine Learning	Ch. V. Narayana; P. Manasa; M. Preethi; A. Mounika; A. Bharadwaja	Proceedings of International Conference on Computational Intelligence and Data Engineering: ICCIDE 2020	Nabendu Chaki; Jerzy Pejas; Nagaraju Devarakonda; Ram Mohan Rao Kovvur	1st ed. 2021	Springer Nature Singapore
Breast Cancer Detection Using Machine Learning and Its Classification	Ashish Kumar; Ruchir Ahluwalia	Cancer Prediction for Industrial IoT 4. 0: A Machine Learning Perspective	Meenu Gupta; Rachna Jain; Arun Solanki; Fadi Al-Turjman	2021	Routledge
Analysis of Breast Cancer Detection Using Different Machine Learning Techniques	Siham A. Mohammed; Sadeq Darrab; Salah A. Noaman; Gunter Saake	Data Mining and Big Data: 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings	Ying Tan; Yuhui Shi; Milan Tuba	1st ed. 2020	Springer Nature Singapore
Breast Cancer: Early Detection	Ingrid Schreer; Jutta Lüttges	Radiologic-Pathologic Correlations from Head to Toe: Understanding the Manifestations of Disease	Nicholas C. Gourtsoyiannis; Pablo R. Ros	2005	Springer Berlin Heidelberg
Prediction Model for Breast Cancer Detection Using Machine Learning Algorithms	Nishita Sinha; Puneet Sharma; Deepak Arora	Computational Methods and Data Engineering: Proceedings of ICMDE 2020, Volume 1	Vijendra Singh; Vijayan K. Asari; Sanjay Kumar; R. B. Patel	1st ed. 2021	Springer Nature Singapore
Breast Cancer Detection Using Supervised Machine Learning: A Comparative Analysis	Akansha Kamboj; Prashmit Tanay; Akash Sinha; Prabhat Kumar	Information Management and Machine Intelligence: Proceedings of ICIMMI 2019	Dinesh Goyal; Valentina Emilia Bălaş; Abhishek Mukherjee; Victor Hugo C. de Albuquerque; Amit Kumar Gupta	1st ed. 2021	Springer Nature Singapore
Breast Cancer Prognosis Using Machine Learning Approaches	Nadeem Yousuf Khanday; Shabir Ahmad Sofi	Data Science for Effective Healthcare Systems	Hari Singh; Ravindara Bhatt; Prateek Thakral; Dinesh Chander Verma	2022	Routledge
Breast Cancer Survival Prediction Using Machine Learning	Parul Tiwari; Piyush Bhardwaj; Arvind Keprate; Ashish Tyagi	Computational Intelligence in Oncology: Applications in Diagnosis, Prognosis and Therapeutics of Cancers	Khalid Raza	1st ed. 2022	Springer Nature Singapore
Breast Cancer Prediction Using Machine Learning Techniques	Shrutika Jantre; Prakash M. Mainkar	Smart Intelligent Computing and Applications, Volume 2: Proceedings of Fifth International Conference on Smart Computing and Informatics (SCI 2021)	Suresh Chandra Satapathy; Vikrant Bhateja; Margarita N. Favorskaya; T. Adilakshmi	1st ed. 2022	Springer Nature Singapore
Breast Cancer Classification Using Machine Learning Algorithms	Simran Sharma; Sachin Deshpande	Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020	Amit Joshi; Mahdi Khosravy; Neeraj Gupta	1st ed. 2021	Springer Nature Singapore
Detection of Early Breast Cancer Using A-Priori Rule Mining and Machine Learning Approaches	Anwesha Banik; Birajit Debbarma; Monalisha Debnath; Sun Jamatia; Ankur Biswas	Applications of Internet of Things: Proceedings of ICCCIOT 2020	Jyotsna K. Mandal; Somnath Mukhopadhyay; Alak Roy	1st ed. 2021	Springer Nature Singapore
Early Detection of Breast Cancer Using Mathematical Morphology		Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, Kes 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part I	Howlett R.J. (ed.), Jain L.C. (ed.)	2004	Springer
Breast Cancer Detection Using Deep Learning and Machine Learning: A Comparative Analysis	Alpna Sharma; Barjesh Kochar; Nisheeth Joshi; Vinay Kumar	International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, Volume 1	Deepak Gupta; Ashish Khanna; Siddhartha Bhattacharyya; Aboul Ella Hassanien; Sameer Anand; Ajay Jaiswal	1st ed. 2021	Springer Nature Singapore
Detection of Breast Cancer by Using Various Machine Learning and Deep Learning Algorithms	Yogesh Jadhav; Harsh Mathur	Handbook of Machine Learning for Computational Optimization: Applications and Case Studies	Vishal Jain; Sapna Juneja; Abhinav Juneja; Ramani Kannan	2021	Routledge
Breast Cancer and Machine Learning	Atapaka Thrilok Gayathri; Samuel Theodore Deepa	Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches	K. Gayathri Devi; Mamata Rath; Nguyen Thi Dieu Linh	2020	Routledge
Early detection of hereditary breast cancer	Michael Michell	Genetics for Health Professionals in Cancer Care: From Principles to Practice	Chris Jacobs; Lorraine Robinson; Patricia Webb	2014	Oxford University Press
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