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Medical Image Computing and Computer Assisted Intervention - MICCAI 2023: Lecture Notes in Computer Science, cartea 14221

Editat de Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor
en Limba Engleză Paperback – 2 oct 2023
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.
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Specificații

ISBN-13: 9783031438943
ISBN-10: 3031438949
Pagini: 832
Ilustrații: XXXVIII, 791 p. 219 illus., 210 illus. in color.
Dimensiuni: 155 x 235 x 45 mm
Greutate: 1.24 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Machine learning – learning strategies.- machine learning – explainability, bias, and uncertainty.

Textul de pe ultima copertă

"Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts" is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.