Overview

Improving Predictive Detection of Leukemia Using Critical Thinking Models is a comprehensive anthology that delves into the forefront of healthcare research, focusing on the critical task of accurately detecting leukemia. With leukemia ranking among the deadliest diseases globally, this book presents an essential collection of studies aimed at saving lives and ensuring proper treatment through advanced detection methods. Drawing upon the expertise of medical professionals, researchers, and scholars, this anthology explores the utilization of cutting-edge AI/ML/DL algorithms and techniques in medical image segmentation, feature selection, and classification specific to leukemia. From algorithms for leukemia detection to image segmentation and follow-up treatment using various examinations, the book covers crucial topics that resonate with medical practitioners, policymakers, academicians, and students alike. By providing knowledge with a groundwork of the fundamentals, and progressing to advanced levels, Improving Predictive Detection of Leukemia Using Critical Thinking Models fosters readers' critical thinking abilities and empowers them to develop innovative detection models for leukemia. This book serves as a valuable resource for both new researchers, who will gain essential insights into the field, and experienced professionals seeking to analyze algorithm performance and identify future research directions. Catering to a diverse audience, including medical professionals, nurses, oncologists, policymakers, researchers, academicians, scholars, practitioners, instructors, and students at all levels of study, this anthology facilitates interdisciplinary collaboration and contributes to the research society's collective understanding of leukemia detection.

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9781668492413

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Kuntal Barua, a native of Bankura, 100 kms far from Kolkata, accomplished his B.Tech. from IMPS college of Engineering and technology, Malda, West Bengal, India, in the year 2008. Later on, he procured his M.Tech. degree from the University of Kalyani, under the guidance of Dr. Kalyani Mali, provided his services as the University station supervisor at MAKAUT (Formally known as WBUT). He received Doctor of Philosophy in Computer Science and Engineering under Prof. (Dr.) K. P. Yadav and Prof. (Dr.) P. Chakrabarti. Having 16+ years of teaching experience, published around more than 40 research papers in various national and international journals (Scopus/SCI) & conferences, including various topics of Artificial Intelligence, Image Processing, Cryptography and Computer Science, had published total seven (07) books on various fields. His major fields of interest are Soft Computing, Data Science, Data Mining, Artificial Intelligence, Neural Networks, and Image Processing etc. He is lifetime professional member of many technical societies like: IEEE, ACM, IE, ISTE, ISRD, CSI, Indian Science Congress etc., Advisor/ Editorial board member at IJAIEM, IJETAE, IJTRM, IAEME, Reviewer at IJCSEITR, IASET, Associate member of IACSIT, ISOC Global, ISOC Kolkata, IAENG-HONG KONG. He is academic coordinator of NPTEL, REDHAT Academy, and Oracle. He was Rajasthan State Student Coordinator of Computer Society of India. He has been participated many International Conferences as Chair-Person. He published six (06) patents as inventor and co-inventor along with copyrights. He worked as Lecturer at SMU Kalyani, Assistant Professor at AIMMT Barrackpore WB, Assistant professor with additional duties of Exam Superintendent at LNCT Group of colleges Indore, Assistant Professor at Sangam University Bhilwara Rajasthan, Associate Professor at IEC University Baddi HP. At present, he is sharing his experience as Associate Professor at Institute of Advance Computing, SAGE University Indore Madhya-Pradesh India with additional responsibilities as Coordinator in IQAC, Accreditation (UGC/NAAC/NBA/NIRF/QS Ranking etc.) and Collaboration. He is also volunteering his services as Honorary Adjunct Professor and Senior Fellow of SIRG Egypt, Visiting Scientist at University of Malaya Malaysia, as Research Collaborator at Asian Institute of Technology Bangkok and as Visiting Professor at Yesbud University Zambia and KLCU USA. Celestine Iwendi is an associate Professor (Senior Lecturer) with the School of Creative Technologies, University of Bolton, United Kingdom. He is an IEEE Brand Ambassador. He has a PhD in Electronics Engineering, ACM Distinguished Speaker, a Senior Member of IEEE, a Seasoned Lecturer and a Chartered Engineer. A highly motivated researcher and teacher with emphasis on communication, hands-on experience, willing-to-learn and a 21 years technical expertise. Celestine has developed operational, maintenance, and testing procedures for electronic products, components, equipment, and systems; provided technical support and instruction to staff and customers regarding equipment standards, assisting with specific, difficult in-service engineering; Inspected electronic and communication equipment, instruments, products, and systems to ensure conformance to specifications, safety standards, and regulations. He is a wireless sensor network Chief Evangelist, AI, ML and IoT expert and designer. Celestine is an Associate Professor (Senior Lecturer) at the School of Creative Technologies at the University of Bolton, United Kingdom. He is also a Board Member of IEEE Sweden Section, a Fellow of The Higher Education Academy, United Kingdom and a fellow of Institute of Management Consultants to add to his teaching, managerial and professional experiences. Visiting Professor to three Universities and an IEEE Philanthropist.

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