Artificial Intelligence for Data-Driven Medical Diagnosis

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Artificial Intelligence for Data-Driven Medical Diagnosis

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Language: English

Published/Copyright: 2021

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This book is in the series

Volume 3 | Intelligent Biomedical Data Analysis

About this book

This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Author / Editor information

D. Gupta, S. Bhattacharya, India, U. Kose, Turkey, and Bao Le Nguyen, Vietnam

Topics

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Frontmatter
I

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Preface
VII

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Acknowledgment
XI

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Contents
XIII

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List of contributors
XV

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1 Performance of CNN for predicting cancerous lung nodules using LightGBM
1
Subrato Bharati and Prajoy Podder

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2 Deep learning-based cellular image analysis for intelligent medical diagnosis
19
Kerem Delikoyun, Ersin Cine, Muge Anil-Inevi, Oyku Sarigil, Engin Ozcivici and H. Cumhur Tekin

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3 Deep learning approaches in metastatic breast cancer detection
55
Nazan Kemaloğlu, Turgay Aydoğan and Ecir Uğur Küçüksille

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4 Machine learning: an ultimate solution for diagnosis and treatment of cancer
85
Sonia Singla, G. Veeramalai, S. Aswath, Vinod Kumar Pal and Vikas Namjoshi

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5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy
103
Sahar Qazi, Khalid Raza and Naiyar Iqbal

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6 Diagnosis disease from medical databases using neural networks: a review
127
Omer Deperlioglu

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7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images
143
A. Lenin Fred, H. Ajay Kumar, S. N. Kumar and Parasuraman Padmanabhan

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8 Decentralized solutions for data collection and privacy in healthcare
167
Enis Karaarslan and Enis Konacaklı

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9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings
191
Kurubaran Ganasegeran

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10 Automated gastric cancer detection and classification using machine learning
207
Prajoy Podder, Subrato Bharati and M. Rubaiyat Hossain Mondal

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11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies
225
Bekir Aksoy, Osamah Salman, İrem Sayin and Koray Özsoy

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12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images
245
Kerim Kürşat Çevik, Emre Dandil, Süleyman Uzun, Mehmet Süleyman Yildirim and Ali Osman Selvi

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13 A machine vision technique-based tongue diagnosis system in Ayurveda
265
Harshvardhan Tiwari, Shivani S. Pai, N. S. Sumanth and Arundhati S. Hegde

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14 Vine copula and artificial neural network models to analyze breast cancer data
287
Vilda Purutçuoğlu and Hajar Farnoudkia

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Index
305

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Publishing information

Pages and Images/Illustrations in book

eBook published on:

February 8, 2021

eBook ISBN:

9783110668322

Hardcover published on:

February 8, 2021

Hardcover ISBN:

9783110667813

Pages and Images/Illustrations in book

Front matter:

18

Main content:

308

Illustrations:

35

Coloured Illustrations:

107

Tables:

48

https://doi.org/10.1515/9783110668322

eBook ISBN: 9783110668322

Hardcover ISBN: 9783110667813

Keywords for this book

Diagnostik; Big Data; Künstliche Intelligenz; Bioinformatik; Maschinelles Lernen

Audience(s) for this book

Researchers in the fields of biomedical engineering, computer science, physicians, as well as BSc., MSc. or PhD. students.

Safety & product resources

Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Artificial Intelligence for Data-Driven Medical Diagnosis

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

Preface

Acknowledgment

Contents

List of contributors

1 Performance of CNN for predicting cancerous lung nodules using LightGBM

2 Deep learning-based cellular image analysis for intelligent medical diagnosis

3 Deep learning approaches in metastatic breast cancer detection

4 Machine learning: an ultimate solution for diagnosis and treatment of cancer

5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy

6 Diagnosis disease from medical databases using neural networks: a review

7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images

8 Decentralized solutions for data collection and privacy in healthcare

9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings

10 Automated gastric cancer detection and classification using machine learning

11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies

12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images

13 A machine vision technique-based tongue diagnosis system in Ayurveda

14 Vine copula and artificial neural network models to analyze breast cancer data

Index

Bibliographic data