Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VII /
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VII / [electronic resource] :
edited by Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor.
- 1st ed. 2023.
- XL, 818 p. 269 illus., 257 illus. in color. online resource.
- Lecture Notes in Computer Science, 14226 1611-3349 ; .
- Lecture Notes in Computer Science, 14226 .
Clinical applications – abdomen -- clinical applications – breast -- clinical applications – cardiac -- clinical applications – dermatology -- clinical applications – fetal imaging; clinical applications – lung -- clinical applications – musculoskeletal -- clinical applications – oncology -- clinical applications – ophthalmology -- clinical applications – vascular.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinicalapplications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
9783031439902
10.1007/978-3-031-43990-2 doi
Image processing--Digital techniques.
Computer vision.
Application software.
Machine learning.
Education--Data processing.
Information technology--Management.
Biomedical engineering.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer and Information Systems Applications.
Machine Learning.
Computers and Education.
Computer Application in Administrative Data Processing.
Biomedical Engineering and Bioengineering.
TA1501-1820 TA1634
006
Clinical applications – abdomen -- clinical applications – breast -- clinical applications – cardiac -- clinical applications – dermatology -- clinical applications – fetal imaging; clinical applications – lung -- clinical applications – musculoskeletal -- clinical applications – oncology -- clinical applications – ophthalmology -- clinical applications – vascular.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinicalapplications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
9783031439902
10.1007/978-3-031-43990-2 doi
Image processing--Digital techniques.
Computer vision.
Application software.
Machine learning.
Education--Data processing.
Information technology--Management.
Biomedical engineering.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer and Information Systems Applications.
Machine Learning.
Computers and Education.
Computer Application in Administrative Data Processing.
Biomedical Engineering and Bioengineering.
TA1501-1820 TA1634
006