Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Marleen de Bruijne; Philippe C. Cattin; Stephane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Marleen de Bruijne; Philippe C. Cattin; Stephane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections:
Part I: image segmentation
Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning
Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality
Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular