... Research on Automatic Segmentation Algorithm of Brain Tumor Image Based on Multi - sequence Self - supervised Fusion in Complex Scenes Guiqiang Zhang1 ( ) , Jianting Shi2 , Wenqiang Liu3 ( ) , Guifu Zhang , and Yuanhan He1 1 Anhui ...

The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to illustrate brain tumor segmentation.

Medical image processing and its segmentation is an active and interesting area for researchers.

This thesis presents segmentation-enhanced registration methods to support image-guided treatments of brain tumors.

This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning.

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Brain Lesion (BrainLes), Brain Tumor Segmentation (BRATS) and Ischemic Stroke Lesion Segmentation (ISLES), held in Munich, Germany, on ...

In the domain of Medical Image Analysis (MIA), it is difficult to perform brain tumor classification.

Brain tumor classification is a challenging task in the field of medical image processing.

However their role in large-scale sequence labelling systems has so far been auxiliary. The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only.

The Editor The series Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering is edited by Thorsten M. Buzug.