An Overview of Deep Learning in Medical Imaging Focusing on MRI images

JAGU, SRI MAHALAKSHMI; SETTE, RAJIV KUMAR; S., UPPENDRA KUMAR

ISBN 10: 6207650077 / ISBN 13: 9786207650071

Published by LAP LAMBERT Academic Publishing, 2024

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Bibliographic Details

• Title: An Overview of Deep Learning in Medical Imaging Focusing on MRI images
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6207650077
• ISBN 13: 9786207650071
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Machine learning has seen some dramatic developments recently, leading to a lot of interest from industry, academia and popular culture. These are driven by breakthroughs in artificial neural networks, often termed deep learning, a set of techniques and algorithms that enable computers to discover complicated patterns in large data sets. Feeding the breakthroughs is the increased access to data (“big data”), user-friendly software frameworks, and an explosion of the available compute power, enabling the use of neural networks that are deeper than ever before. These models nowadays form the state-of-the-art approach to a wide variety of problems in computer vision, language modeling and robotics. Deep learning rose to its prominent position in computer vision when neural networks started outperforming other methods on several high-profile image analysis benchmarks. Most famously on the Image Net Large-Scale Visual Recognition Challenge (ILSVRC) in 2012 when a deep learning model (a convolutional neural network) halved the second-best error rate on the image classification task.