The most common areas of CAD application using deep learning include classification of disease and normal patterns, classification of malignant and benign ...

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications.

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, ...

116,00 CHF This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis.

Early studies of deep learning applied to lesion detection or classification have reported superior performance compared to those by conventional techniques or ...

21 июн. 2017 г. · We introduce the fundamentals of deep learning methods and review their successes in image registration, detection of anatomical and cellular ...

In medical image analysis, these algorithms can assist in the detection and diagnosis of various conditions, such as tumors, lesions, anatomical abnormalities, ...

29 мая 2023 г. · Deep learning has revamped medical image analysis, yielding excellent results in image processing tasks such as registration, segmentation, ...

Convolutional neural networks (CNNs) are a widely used deep learning architecture in medical image analysis (Anwar et al., 2018). CNNs are mainly composed of ...

The purpose of this Special Issue (SI) “Deep Learning in Medical Image Analysis” is to present and highlight novel algorithms, architectures, techniques, and ...