Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques

ISBN-13: 9780367139612 / Angielski / Twarda / 2019 / 238 str.

Kc Santosh; Sameer Antani; D. S. Guru

Opis

The book aims to provide advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques, including examples from different medical conditions. 3D imaging in biomedical applications and pathological medical imaging is also reviewed.

Spis treści

1. A novel stacked model ensemble for improved Tuberculosis (TB) detection in chest radiographs
Sivaramakrishnan Rajaraman, Sema Candemir, Zhiyun Xue, Philip Alderson, George Thoma, Sameer Antani

2. The Role of Artificial Intelligence (AI) in Medical Imaging: General Radiologic and Urologic Applications
Diboro Kanabolo, Mohan S. Gundeti,

3. Early Detection of Epileptic Seizures based on scalp EEG signals
Abhishek Agrawal, Lalit Garg, Eliazar Elisha Audu, Ram Bilas Pachori, Justin HG Dauwels

4. Fractal analysis in histology classification of non-small cell lung cancer
Ravindra Patil, Geetha M , Srinidhi  Bhat, Dinesh M S, Leonard Wee  and Andre Dekker

5. Multi feature-based classification of osteoarthritis in knee joint x ray images
Ravindra S. Hegadi, Dattatray N. Navale, Trupti D. Pawar, Darshan D. Ruikar

6. Detection and classification of non-proliferative Diabetic Retinopathy Lesions
Ramesh R Manza, Bharti W. Gawali, Pravin Yannawar, K.C. Santosh

7. Segmentation and analysis of CT images for bone fracture detection and labelling
Darshan D. Ruikar, K.C. Santosh, Ravindra S. Hegadi

8. 3D imaging in biomedical applications: a systematic review
Darshan D. Ruikar, Dattatray D. Sawat, K.C. Santosh, Ravindra S. Hegadi

9. Evolution of Digital sliding of pathology in medical imaging
M Ravi, Ravindra S Hegadi

10. Pathological medical image segmentation: a quick review based on parametric techniques
M Ravi, Ravindra S Hegadi