04647nam 22007935 450 991074695440332120230929153221.03-031-43904-X10.1007/978-3-031-43904-9(MiAaPQ)EBC30765552(Au-PeEL)EBL30765552(DE-He213)978-3-031-43904-9(PPN)272734551(EXLCZ)992844397440004120230929d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMedical Image Computing and Computer Assisted Intervention – MICCAI 2023[electronic resource] 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part V /edited by Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (844 pages)Lecture Notes in Computer Science,1611-3349 ;14224Print version: Greenspan, Hayit Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Cham : Springer,c2023 9783031439032 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; 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; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.Lecture Notes in Computer Science,1611-3349 ;14224Image processingDigital techniquesComputer visionApplication softwareMachine learningEducationData processingSocial sciencesData processingBiomedical engineeringComputer Imaging, Vision, Pattern Recognition and GraphicsComputer and Information Systems ApplicationsMachine LearningComputers and EducationComputer Application in Social and Behavioral SciencesBiomedical Engineering and BioengineeringImage processingDigital techniques.Computer vision.Application software.Machine learning.EducationData processing.Social sciencesData processing.Biomedical engineering.Computer Imaging, Vision, Pattern Recognition and Graphics.Computer and Information Systems Applications.Machine Learning.Computers and Education.Computer Application in Social and Behavioral Sciences.Biomedical Engineering and Bioengineering.006Greenspan Hayit1430860Madabhushi Anant1430861Mousavi Parvin1430862Salcudean Septimiu1430863Duncan James381769Syeda-Mahmood Tanveer1430864Taylor Russell1430865MiAaPQMiAaPQMiAaPQBOOK9910746954403321Medical Image Computing and Computer Assisted Intervention - MICCAI 20233570865UNINA