Auto-Segmentation for Radiation Oncology
portes grátis
Auto-Segmentation for Radiation Oncology
State of the Art
Gooding, Mark J.; Yang, Jinzhong; Sharp, Gregory C.
Taylor & Francis Ltd
05/2023
256
Mole
Inglês
9780367761226
15 a 20 dias
453
Descrição não disponível.
Contents
Foreword I..........................................................................................................................................ix
Foreword II........................................................................................................................................xi
Editors............................................................................................................................................. xiii
Contributors......................................................................................................................................xv
Chapter 1 Introduction to Auto-Segmentation in Radiation Oncology.........................................1
Jinzhong Yang, Gregory C. Sharp, and Mark J. Gooding
Part I Multi-Atlas for Auto-Segmentation
Chapter 2 Introduction to Multi-Atlas Auto-Segmentation......................................................... 13
Gregory C. Sharp
Chapter 3 Evaluation of Atlas Selection: How Close Are We to Optimal Selection?................. 19
Mark J. Gooding
Chapter 4 Deformable Registration Choices for Multi-Atlas Segmentation............................... 39
Keyur Shah, James Shackleford, Nagarajan Kandasamy, and Gregory C. Sharp
Chapter 5 Evaluation of a Multi-Atlas Segmentation System......................................................49
Raymond Fang, Laurence Court, and Jinzhong Yang
Part II Deep Learning for Auto-Segmentation
Chapter 6 Introduction to Deep Learning-Based Auto-Contouring for Radiotherapy................ 71
Mark J. Gooding
Chapter 7 Deep Learning Architecture Design for Multi-Organ Segmentation......................... 81
Yang Lei, Yabo Fu, Tonghe Wang, Richard L.J. Qiu, Walter J. Curran,
Tian Liu, and Xiaofeng Yang
Chapter 8 Comparison of 2D and 3D U-Nets for Organ Segmentation.................................... 113
Dongdong Gu and Zhong Xue
Chapter 9 Organ-Specific Segmentation Versus Multi-Class Segmentation Using U-Net....... 125
Xue Feng and Quan Chen
Chapter 10 Effect of Loss Functions in Deep Learning-Based Segmentation............................ 133
Evan Porter, David Solis, Payton Bruckmeier, Zaid A. Siddiqui,
Leonid Zamdborg, and Thomas Guerrero
Chapter 11 Data Augmentation for Training Deep Neural Networks ........................................ 151
Zhao Peng, Jieping Zhou, Xi Fang, Pingkun Yan, Hongming Shan, Ge Wang,
X. George Xu, and Xi Pei
Chapter 12 Identifying Possible Scenarios Where a Deep Learning Auto-Segmentation
Model Could Fail...................................................................................................... 165
Carlos E. Cardenas
Part III Clinical Implementation Concerns
Chapter 13 Clinical Commissioning Guidelines......................................................................... 189
Harini Veeraraghavan
Chapter 14 Data Curation Challenges for Artificial Intelligence................................................ 201
Ken Chang, Mishka Gidwani, Jay B. Patel, Matthew D. Li, and
Jayashree Kalpathy-Cramer
Chapter 15 On the Evaluation of Auto-Contouring in Radiotherapy.......................................... 217
Mark J. Gooding
Index............................................................................................................................................... 253
Foreword I..........................................................................................................................................ix
Foreword II........................................................................................................................................xi
Editors............................................................................................................................................. xiii
Contributors......................................................................................................................................xv
Chapter 1 Introduction to Auto-Segmentation in Radiation Oncology.........................................1
Jinzhong Yang, Gregory C. Sharp, and Mark J. Gooding
Part I Multi-Atlas for Auto-Segmentation
Chapter 2 Introduction to Multi-Atlas Auto-Segmentation......................................................... 13
Gregory C. Sharp
Chapter 3 Evaluation of Atlas Selection: How Close Are We to Optimal Selection?................. 19
Mark J. Gooding
Chapter 4 Deformable Registration Choices for Multi-Atlas Segmentation............................... 39
Keyur Shah, James Shackleford, Nagarajan Kandasamy, and Gregory C. Sharp
Chapter 5 Evaluation of a Multi-Atlas Segmentation System......................................................49
Raymond Fang, Laurence Court, and Jinzhong Yang
Part II Deep Learning for Auto-Segmentation
Chapter 6 Introduction to Deep Learning-Based Auto-Contouring for Radiotherapy................ 71
Mark J. Gooding
Chapter 7 Deep Learning Architecture Design for Multi-Organ Segmentation......................... 81
Yang Lei, Yabo Fu, Tonghe Wang, Richard L.J. Qiu, Walter J. Curran,
Tian Liu, and Xiaofeng Yang
Chapter 8 Comparison of 2D and 3D U-Nets for Organ Segmentation.................................... 113
Dongdong Gu and Zhong Xue
Chapter 9 Organ-Specific Segmentation Versus Multi-Class Segmentation Using U-Net....... 125
Xue Feng and Quan Chen
Chapter 10 Effect of Loss Functions in Deep Learning-Based Segmentation............................ 133
Evan Porter, David Solis, Payton Bruckmeier, Zaid A. Siddiqui,
Leonid Zamdborg, and Thomas Guerrero
Chapter 11 Data Augmentation for Training Deep Neural Networks ........................................ 151
Zhao Peng, Jieping Zhou, Xi Fang, Pingkun Yan, Hongming Shan, Ge Wang,
X. George Xu, and Xi Pei
Chapter 12 Identifying Possible Scenarios Where a Deep Learning Auto-Segmentation
Model Could Fail...................................................................................................... 165
Carlos E. Cardenas
Part III Clinical Implementation Concerns
Chapter 13 Clinical Commissioning Guidelines......................................................................... 189
Harini Veeraraghavan
Chapter 14 Data Curation Challenges for Artificial Intelligence................................................ 201
Ken Chang, Mishka Gidwani, Jay B. Patel, Matthew D. Li, and
Jayashree Kalpathy-Cramer
Chapter 15 On the Evaluation of Auto-Contouring in Radiotherapy.......................................... 217
Mark J. Gooding
Index............................................................................................................................................... 253
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
medical image analysis;neural network segmentation;radiotherapy planning;artificial intelligence healthcare;thoracic organ delineation;clinical data curation;deep learning segmentation failure scenarios
Contents
Foreword I..........................................................................................................................................ix
Foreword II........................................................................................................................................xi
Editors............................................................................................................................................. xiii
Contributors......................................................................................................................................xv
Chapter 1 Introduction to Auto-Segmentation in Radiation Oncology.........................................1
Jinzhong Yang, Gregory C. Sharp, and Mark J. Gooding
Part I Multi-Atlas for Auto-Segmentation
Chapter 2 Introduction to Multi-Atlas Auto-Segmentation......................................................... 13
Gregory C. Sharp
Chapter 3 Evaluation of Atlas Selection: How Close Are We to Optimal Selection?................. 19
Mark J. Gooding
Chapter 4 Deformable Registration Choices for Multi-Atlas Segmentation............................... 39
Keyur Shah, James Shackleford, Nagarajan Kandasamy, and Gregory C. Sharp
Chapter 5 Evaluation of a Multi-Atlas Segmentation System......................................................49
Raymond Fang, Laurence Court, and Jinzhong Yang
Part II Deep Learning for Auto-Segmentation
Chapter 6 Introduction to Deep Learning-Based Auto-Contouring for Radiotherapy................ 71
Mark J. Gooding
Chapter 7 Deep Learning Architecture Design for Multi-Organ Segmentation......................... 81
Yang Lei, Yabo Fu, Tonghe Wang, Richard L.J. Qiu, Walter J. Curran,
Tian Liu, and Xiaofeng Yang
Chapter 8 Comparison of 2D and 3D U-Nets for Organ Segmentation.................................... 113
Dongdong Gu and Zhong Xue
Chapter 9 Organ-Specific Segmentation Versus Multi-Class Segmentation Using U-Net....... 125
Xue Feng and Quan Chen
Chapter 10 Effect of Loss Functions in Deep Learning-Based Segmentation............................ 133
Evan Porter, David Solis, Payton Bruckmeier, Zaid A. Siddiqui,
Leonid Zamdborg, and Thomas Guerrero
Chapter 11 Data Augmentation for Training Deep Neural Networks ........................................ 151
Zhao Peng, Jieping Zhou, Xi Fang, Pingkun Yan, Hongming Shan, Ge Wang,
X. George Xu, and Xi Pei
Chapter 12 Identifying Possible Scenarios Where a Deep Learning Auto-Segmentation
Model Could Fail...................................................................................................... 165
Carlos E. Cardenas
Part III Clinical Implementation Concerns
Chapter 13 Clinical Commissioning Guidelines......................................................................... 189
Harini Veeraraghavan
Chapter 14 Data Curation Challenges for Artificial Intelligence................................................ 201
Ken Chang, Mishka Gidwani, Jay B. Patel, Matthew D. Li, and
Jayashree Kalpathy-Cramer
Chapter 15 On the Evaluation of Auto-Contouring in Radiotherapy.......................................... 217
Mark J. Gooding
Index............................................................................................................................................... 253
Foreword I..........................................................................................................................................ix
Foreword II........................................................................................................................................xi
Editors............................................................................................................................................. xiii
Contributors......................................................................................................................................xv
Chapter 1 Introduction to Auto-Segmentation in Radiation Oncology.........................................1
Jinzhong Yang, Gregory C. Sharp, and Mark J. Gooding
Part I Multi-Atlas for Auto-Segmentation
Chapter 2 Introduction to Multi-Atlas Auto-Segmentation......................................................... 13
Gregory C. Sharp
Chapter 3 Evaluation of Atlas Selection: How Close Are We to Optimal Selection?................. 19
Mark J. Gooding
Chapter 4 Deformable Registration Choices for Multi-Atlas Segmentation............................... 39
Keyur Shah, James Shackleford, Nagarajan Kandasamy, and Gregory C. Sharp
Chapter 5 Evaluation of a Multi-Atlas Segmentation System......................................................49
Raymond Fang, Laurence Court, and Jinzhong Yang
Part II Deep Learning for Auto-Segmentation
Chapter 6 Introduction to Deep Learning-Based Auto-Contouring for Radiotherapy................ 71
Mark J. Gooding
Chapter 7 Deep Learning Architecture Design for Multi-Organ Segmentation......................... 81
Yang Lei, Yabo Fu, Tonghe Wang, Richard L.J. Qiu, Walter J. Curran,
Tian Liu, and Xiaofeng Yang
Chapter 8 Comparison of 2D and 3D U-Nets for Organ Segmentation.................................... 113
Dongdong Gu and Zhong Xue
Chapter 9 Organ-Specific Segmentation Versus Multi-Class Segmentation Using U-Net....... 125
Xue Feng and Quan Chen
Chapter 10 Effect of Loss Functions in Deep Learning-Based Segmentation............................ 133
Evan Porter, David Solis, Payton Bruckmeier, Zaid A. Siddiqui,
Leonid Zamdborg, and Thomas Guerrero
Chapter 11 Data Augmentation for Training Deep Neural Networks ........................................ 151
Zhao Peng, Jieping Zhou, Xi Fang, Pingkun Yan, Hongming Shan, Ge Wang,
X. George Xu, and Xi Pei
Chapter 12 Identifying Possible Scenarios Where a Deep Learning Auto-Segmentation
Model Could Fail...................................................................................................... 165
Carlos E. Cardenas
Part III Clinical Implementation Concerns
Chapter 13 Clinical Commissioning Guidelines......................................................................... 189
Harini Veeraraghavan
Chapter 14 Data Curation Challenges for Artificial Intelligence................................................ 201
Ken Chang, Mishka Gidwani, Jay B. Patel, Matthew D. Li, and
Jayashree Kalpathy-Cramer
Chapter 15 On the Evaluation of Auto-Contouring in Radiotherapy.......................................... 217
Mark J. Gooding
Index............................................................................................................................................... 253
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
