Deep Network Design for Medical Image Computing
portes grátis
Deep Network Design for Medical Image Computing
Principles and Applications
Liao, Haofu; Zhou, S. Kevin; Luo, Jiebo
Elsevier Science Publishing Co Inc
08/2022
264
Mole
Inglês
9780128243831
15 a 20 dias
450
Descrição não disponível.
1. Introduction
2. Deep Learning Basics
3. Classification: Lesion and Disease Recognition
4. Detection: Vertebrae Localization and Identification
5. Segmentation: Intracardiac Echocardiography Contouring
6. Registration: 2D/3D Medical Image Registration
7. Reconstruction: Supervised Artifact Reduction
8. Reconstruction: Unsupervised Artifact Reduction
9. Synthesis: Novel View Synthesis
10. Challenges and Future Directions
2. Deep Learning Basics
3. Classification: Lesion and Disease Recognition
4. Detection: Vertebrae Localization and Identification
5. Segmentation: Intracardiac Echocardiography Contouring
6. Registration: 2D/3D Medical Image Registration
7. Reconstruction: Supervised Artifact Reduction
8. Reconstruction: Unsupervised Artifact Reduction
9. Synthesis: Novel View Synthesis
10. Challenges and Future Directions
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Medical image computing; Medical image analysis; Medical image reconstruction;Medical image synthesis;Medical imaging;Deep learning; Machine Learning;Computer vision; Pattern recognition; Artificial intelligence
1. Introduction
2. Deep Learning Basics
3. Classification: Lesion and Disease Recognition
4. Detection: Vertebrae Localization and Identification
5. Segmentation: Intracardiac Echocardiography Contouring
6. Registration: 2D/3D Medical Image Registration
7. Reconstruction: Supervised Artifact Reduction
8. Reconstruction: Unsupervised Artifact Reduction
9. Synthesis: Novel View Synthesis
10. Challenges and Future Directions
2. Deep Learning Basics
3. Classification: Lesion and Disease Recognition
4. Detection: Vertebrae Localization and Identification
5. Segmentation: Intracardiac Echocardiography Contouring
6. Registration: 2D/3D Medical Image Registration
7. Reconstruction: Supervised Artifact Reduction
8. Reconstruction: Unsupervised Artifact Reduction
9. Synthesis: Novel View Synthesis
10. Challenges and Future Directions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.