Applied artificial intelligence : a biomedical perspective / edited by Dr. Swati V. Shinde, Dr. Varsha S. Bendre, Dr. Jude Hemanth, and Dr. M. A. Balafar.

Format:

Book

Contributor:

Shinde, Swati V., editor.

Bendre, Varsha, editor.

Hemanth, D. Jude, editor.

Balafar, M. A. (Mohammad-Ali), editor.

Taylor & Francis eBooks

Louis B. Flexner Medical Book Fund.

Series:

Biomedical and robotics healthcare

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Biomedical engineering.

Physical Description:

1 online resource (xx, 390 pages) : illustrations (chiefly color).

Edition:

First edition.

Place of Publication:

Boca Raton, FL : CRC Press, 2024.

Biography/History:

Dr. Swati V. Shinde has a Ph.D. in Computer Science and Engineering, from Swami Ramanand Teerth Marathwada University, Nanded. She has 20 years of teaching experience and is currently working as a Professor at Pimpri Chinchwad College of Engineering (PCCoE), Pune. She has worked as a HOD-IT for seven years in PCCoE. Her research interests include Machine Learning, Deep Learning, Soft Computing, Artificial Neural Network, and Fuzzy Logic. Dr. Varsha Bendre received a Bachelor's degree in Electronics and Telecommunication Engineering from Saint Gadge Baba Amravati University, Amravati, and M.E degree from Savitribai Phule Pune University in 2000 and 2010 respectively. She completed a Ph.D. in the area of Nanotechnology and Low Power VLSI from Savitribai Phule Pune University, Pune, and Maharashtra, India in Jan 2020. Her research work is focused on analog circuit design at very deep submicron technology using Carbon Nanotube Field-Effect Transistors. Dr. D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006, and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. Dr. MA Balafar completed his Ph.D. in IT from UPM, Malaysia. He has 16 years of teaching experience and is working as an Assistant Professor at the University of Tabriz, Iran. His research interests are AI, computer vision, Fuzzy Logic, Deep Learning, Machine Learning, and information security.

Contents:

Healthcare fees-centric to value-centric transformation through data, analytics and artificial intelligence / Sanjeev Manchanda, Mahesh Kshirsagar

AI-based healthcare : top businesses and technologies / Dipali Ghatge, K. Rajeswari

Insights into AI, machine learning and deep learning / Aditya Shinde, Swati Shinde

Deep learning for visual perceptual brain decoding as Image Classification / Priyanka Jain, Saumya Kushwaha, N.K. Jain

Automatic brain tumor segmentation in multimodal MRI images using deep learning / Seyyed-Mahdi Banan-Khojasteh, Mohammad-Ali Balafar

Automated prediction of lung cancer using deep learning algorithms / S. Das, P. Kumar, S. Pal, S. Majumder

Cervical cancer screening approach using AI / D. Santhi, M. Carmel Sobia, Jayalakshmi

Progression detection of multiple sclerosis in brain MRI images / Santosh Chede Smith, Surekha Washimkar

Artificial intelligence clustering techniques on dermoscopic skin lesion images / V.Saravana Kumar, S. Anantha Sivaprakasam, Sunil Bhutada, Suma K G, Lakshmi, Priya, M. Kavitha

Automated Alzheimer's disease detection with optimized fuzzy neural network / Preeti Topannavar / D.M. Yadav, Varsha Bendre

A comprehensive survey with bibliometric analysis on recent research opportunities of multimodal medical image fusion in various applications / Manjiri A Ranjanikar, Nilam Upasani, Asmita Manna, Jaishri M. Waghmare, Shimpy Goyal, Rachana Y. Patil, Bharati P. Vasgi

Big data in IoT for healthcare application / Nilam Upasani, Deepali Joshi, Sanika Upasani, Swayam Pendgaonkar

Automatic detection of diabetic retinopathy to avoid blindness / Smita Das, Sushanta Das, Saptarshi Debray, Madhusudhan Mishra, Swanirbhar Majumder

A review on wireless ban to measure the respiration rate using SoC architecture / Archana H R, Surendra H.H, Jyothi A P, Lalitha S, Madhusudhan K N

Deep feature extraction for EEG signal classification in motor imagery tasks information classification : general / Rashmi S, Vani Ashok

Effect of age in normal women by heart rate variability analysis / Anjali C.Birajdar, Vijaya R. Thool

EEG signal analysis using machine learning and artificial intelligence for identification of brain dysfunction / Rajeswari Aghoram, Athira S.B.

Cervical cancer screening methods : comprehensive survey / Swati Shinde, Madhura Kalbhor, Aditya Ankana, Aditya Shinde

Understanding assessment methods and sensors for ADHD hyperactive-impulsive type among children / T. Kumar, M.B. Malarvili

Security of medical image information by cryptography and watermarking using Python / Pallavi R. Waghmare, Jaishri. M. Waghmare

Integration of biosensors and drug delivery systems for biomedical applications / Jithu Jerin James, Sandhya KV

Automatic liver and lesion segmentation in CT using 3D context convolutional neural network : 3D context U-Net / Lida Daryani Ghazani, MA. Balafar.

Notes:

Includes bibliographical references and index.

Electronic reproduction. London Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on September 26, 2023).

Local Notes:

Acquired for the Penn Libraries with assistance from the Louis B. Flexner Medical Book Fund.

Other Format:

Print version: Applied artificial intelligence

ISBN:

9781000896169

1000896161

9781003324430

1003324436

9781000896206

100089620X

Publisher Number:

99994643559

Access Restriction:

Restricted for use by site license.