Artificial intelligence (AI) as an emerging technology is gaining momentum in medical imaging. Of all the advances in modern medicine, medical imaging is among the most remarkable developments.
We are hoping this collection will further the understanding of AI in medical imaging, highlight its versatility and applications, can help enhance medical screenings, improve precision medicine, assess patient risk factors, and lighten the load for physicians.
Artificial intelligence (AI) is an innovative and by all odds, a life-changing tool in Medical Imaging. AL algorithms, particularly Deep Learning have gain ground in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found plethora of applications in the medical image analysis field, propelling it forward at a rapid pace. AI can automatically recognize and analyze complex patterns in large sets of imaging data with excellent accuracy, sensitivity and specificity. This will lead to better disease prediction and therapy planning. As AI is gaining momentum in Imaging and Diagnostics, the time is ripe to prioritize innovation, scrutiny and research programs. This book aims to improve the clinical efficiency, as well as spare no effort to probe the different types of technological advancements to get more reliable and accurate diagnostic conclusion, which will function as a second opinion to support the medical professionals. The book carefully articulates a wide spectrum of paradigms like segmentation, feature extraction, feature selection, and classification using ML/DL.