Deep Learning and Convolutional Neural Networks for Medical Image Computing : Precision Medicine, High Performance and Large-Scale Datasets /
Autor Corporativo: | |
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Otros Autores: | , , , |
Formato: | eBook |
Lenguaje: | English |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Edición: | 1st ed. 2017. |
Colección: | Advances in Computer Vision and Pattern Recognition,
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Materias: |
Tabla de Contenidos:
- Part I: Review
- Chapter 1. Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective
- Chapter 2. Review of Deep Learning Methods in Mammography, Cardiovascular and Microscopy Image Analysis
- Part II: Detection and Localization
- Chapter 3. Efficient False-Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
- Chapter 4. Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning
- Chapter 5. A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set
- Chapter 6. Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers
- Chapter 7. Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning
- Chapter 8. Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging
- Chapter 9. Cell Detection with Deep Learning Accelerated by Sparse Kernel
- Chapter 10. Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition
- Chapter 11. On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging
- Part III: Segmentation
- Chapter 12. Fully Automated Segmentation Using Distance Regularized Level Set and Deep-Structured Learning and Inference
- Chapter 13. Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms
- Chapter 14. Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local vs. Global Image Context
- Chapter 15. Robust Cell Detection and Segmentation in Histopathological Images using Sparse Reconstruction and Stacked Denoising Autoencoders
- Chapter 16. Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling
- Part IV: Big Dataset and Text-Image Deep Mining
- Chapter 17. Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database.