TY  - GEN
N2  - The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Machine learning methodologies Part II: Image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: Segmentation; shape models and landmark detection Part V: Biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: Angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography.
DO  - 10.1007/978-3-030-59722-1
DO  - doi
AB  - The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Machine learning methodologies Part II: Image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: Segmentation; shape models and landmark detection Part V: Biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: Angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography.
T1  - Medical image computing and computer assisted intervention -- MICCAI 2020 :23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings.
DA  - 2020.
CY  - Cham :
AU  - Martel, Anne.
AU  - Abolmaesumi, Purang.
AU  - Stoyanov, Danail.
AU  - Mateus, Diana.
AU  - Zuluaga, Maria A.
AU  - Zhou, S. Kevin.
AU  - Racoceanu, Daniel.
AU  - Joskowicz, Leo.
VL  - 12265
CN  - RC78.7.D53
PB  - Springer,
PP  - Cham :
PY  - 2020.
N1  - "The conference was held through a virtual conference management platform, consisting of the main scientific program in addition to featuring 25 work-shops, 8 tutorials, and 24 challenges during October 4-8, 2020."-- Preface.
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 946558
KW  - Diagnostic imaging
SN  - 9783030597221
SN  - 3030597229
TI  - Medical image computing and computer assisted intervention -- MICCAI 2020 :23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-59722-1
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-59722-1
ER  -