Titlebook: Deep Learning and Convolutional Neural Networks for Medical Image Computing; Precision Medicine, Le Lu,Yefeng Zheng,Lin Yang Book 2017 Spr

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2191-6586 ntic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database..978-3-319-82713-1978-3-319-42999-1Series ISSN 2191-6586 Series E-ISSN 2191-6594

RAGE

2191-6586 principles and best practices.Includes supplementary materia.This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on

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exclusice

Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognitionly outperform traditional learning-based approaches while achieving real-time performance. Additionally, we demonstrate that the proposed image classification FCN model can be used in organ localisation task as well without requiring additional training data.

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