Applied Intelligence for Medical Image Analysis 1st Edition by Aarti, Raju Pal, Mukesh Saraswat, Himanshu Mittal ISBN 9781003461852 1003461852

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Product details: 

ISBN 10: 1003461852

ISBN 13:  9781003461852

Author:  Aarti, Raju Pal, Mukesh Saraswat, Himanshu Mittal 

Over the last decades, there has been a revolution in the use of new intelligent technologies to analyze and interpret medical images for diseases diagnosis, assessment ad treatment. This new volume explores the latest cutting-edge research in medical image analysis. The advanced intelligent technologies discussed include machine learning, ensemble methods in machine learning, deep learning methods and firebase technology, infrared thermography, deep convolution neural networks, and more. Some of the specific uses of these technologies include for brain tumor MRIs, for breast cancer screening, for polycystic ovary syndrome classification, for detecting and monitoring Alzheimer’s disease, for monitoring of newborns, for retinal disease diagnosis, for Covid-19 detection, and more.

 

Table of contents: 

1. A Comparative Study of Anisotropic Diffusion Filters for Medical Image Denoising

Amira Hadj Fredj, Jihene Malek, and Souhir Mabrouk

 

2. Salt and Pepper Noise Removal Techniques for Medical Image Reconstruction

Vatsal Nanda, Prateek Jeet Singh Sohi, Bharat Garg, and Prashant Singh Rana

 

3. Comparative Analysis of PSP- and WOA-Based Segmentation of Brain Tumor MRIs

Reena Tripathi and Bindu Verma

 

4. Breast Cancer Screening Using Fractal Dimension of Chromatin in Interphase Nuclei of Buccal Epithelium

Dmitriy Klyushin, Kateryna Golubeva, Natalia Boroday, and Chan Kha Vu

 

5. Polycystic Ovary Syndrome Classification Based on Machine Learning

Nancy Girdhar, Priya Singh, and Tisha Singhal

 

6. A Comprehensive Review on Diagnosis of Alzheimer’s Disease Using Ensemble Methods and Machine Learning

Prachi Patil and Sujata Kadu

 

7. A New Strategy for Prediction of Diabetic Retinopathy Using Deep Learning Methods and Firebase Technology

Abdelwaheb Jebnouni, Amira Hadj Fredj, and Jihene Malek

 

8. Contactless Monitoring in Newborns Using Infrared Thermography: A Review

Lalit Maurya, Roop Singh, Deepak Chawla, and Prasant Mahapatra

 

9. Retinal Disease Diagnosis Using Machine Learning Techniques

G. Kalaiarasi, B. Saritha, S. K. Kabilesh, and D. Mohanapriya

 

10. Automated Segregation of Lymphoid and Myeloid Blasts in Acute Leukemia Cases Using a Deep Convolutional Neural Network

Anilkumar K. K., Manoj V. J, and Sagi T. M

 

11. Evaluation of Deep Learning Network Architectures for Medicine Expenditure Prediction in the Healthcare Domain

Ulises Manuel Ramirez-Alcocer, Jaciel David Hernandez-Resendiz, and Edgar Tello Leal

 

12. Covid-19 Detection from Chest X-Ray Using a Customized Artificial Neural Network

Vinayak Tiwari, Amit Singhal, and Nischay Dhankhar

 

13. An Automated Deep Learning Approach to Classify ECG signals using AlexNet

Neelofer Shaheen, Mudassir Hasan Khan and Mohammad Sarfraz

 

14. MLO and CC View of Feature Fusion and Mammogram Classification Using a Deep Convolution Neural Network

V. Sridevi and J. Abdul Samath

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Tags: Aarti, Raju Pal, Mukesh Saraswat, Himanshu Mittal, Applied Intelligence, Medical Image Analysis