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

1.A novel stacked model ensemble for improved Tuberculosis (TB) detection in chest radiographsSivaramakrishnan 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 ApplicationsDiboro Kanabolo, Mohan S. Gundeti, 3.Early Detection of Epileptic Seizures based on scalp EEG signalsAbhishek Agrawal, Lalit Garg, Eliazar Elisha Audu, Ram Bilas Pachori, Justin HG Dauwels 4.Fractal analysis in histology classification of non-small cell lung cancerRavindra 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 imagesRavindra S. Hegadi, Dattatray N. Navale, Trupti D. Pawar, Darshan D. Ruikar 6.Detection and classification of non-proliferative Diabetic Retinopathy LesionsRamesh R Manza, Bharti W. Gawali, Pravin Yannawar, K.C. Santosh 7.Segmentation and analysis of CT images for bone fracture detection and labellingDarshan D. Ruikar, K.C. Santosh, Ravindra S. Hegadi 8.3D imaging in biomedical applications: a systematic reviewDarshan D. Ruikar, Dattatray D. Sawat, K.C. Santosh, Ravindra S. Hegadi 9.Evolution of Digital sliding of pathology in medical imagingM Ravi, Ravindra S Hegadi 10.Pathological medical image segmentation: a quick review based on parametric techniquesM Ravi, Ravindra S Hegadi