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UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING AND CLINICAL IMAGE-BASED PROCEDURES - FIRST INTERNATIONA

Hayit Greenspan; Ryutaro Tanno; Marius Erdt; Tal Arbel; Christian Baumgartner; Adrian Dalca; Carole H. Sudre; Will Wells
Springer Nature Switzerland AG (2019)
Pehmeäkantinen kirja

49,60 €

UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING, AND GRAPHS IN BIOMEDICAL IMAGE ANALYSIS - SECOND INTERN

Carole H. Sudre; Hamid Fehri; Tal Arbel; Christian F. Baumgartner; Adrian Dalca; Ryutaro Tanno; Koen Van Leemput; Wells
Springer Nature Switzerland AG (2020)
Pehmeäkantinen kirja

49,60 €

UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING, AND PERINATAL IMAGING, PLACENTAL AND PRETERM IMAGE ANAL

Carole H. Sudre; Roxane Licandro; Christian Baumgartner; Andrew Melbourne; Adrian Dalca; Jana Hutter; Ryutaro Tanno; Abac
Springer Nature Switzerland AG (2021)
Pehmeäkantinen kirja

64,10 €

UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING : 4TH INTERNATIONAL WORKSHOP, UNSURE 2022, HELD IN CONJU

Carole H. Sudre (ed.); Christian F. Baumgartner (ed.); Adrian Dalca (ed.); Chen Qin (ed.); Ryutaro Tanno (ed.); Van Leemput
Springer (2022)
Pehmeäkantinen kirja

54,40 €

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First Internationa

Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian Baumgartner, Adrian Dalca, Carole H. Sudre, Will Wells

49,60 €

Springer Nature Switzerland AG
Sivumäärä: 192 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2019
Julkaisuvuosi: 2019, 11.10.2019 (lisätietoa)
Kieli: Englanti
Tuotesarja: Image Processing, Computer Vision, Pattern Recognition, and Graphics

This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.

CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

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