Muutke küpsiste eelistusi

E-raamat: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 67,91 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, ProceedingsSuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes the refereed proceedings of the Third International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic.For UNSURE 2021, 13 papers from 18 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.





PIPPI 2021 accepted 14 papers from the 18 submissions received. The workshop aims to bring together methods and experience from researchers and authors working on these younger cohorts and provides a forum for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.
UNSURE 2021 - Uncertainty estimation and modelling and annotation
uncertainty.- Model uncertainty estimation for medical Imaging based
diagnosis.- Accurate simulation of operating system updates in neuroimaging
using Monte-Carlo arithmetic.- Leveraging uncertainty estimates to improve
segmentation performance in cardiac MR.- Improving the reliability of
semantic segmentation of medical images by uncertainty modelling with
Bayesian deep networks and curriculum learning.- Unpaired MR image
homogeneisation by disentangled representations and its uncertainty.-
Uncertainty-aware deep learning based deformable registration.- Monte Carlo
Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumour
segmentation.- Improving Aleatoric Uncertainty quantification in
multi-annotated medical image segmentation with normalizing flows.- UNSURE
2021 Domain shift robustness and risk management in clinical pipelines.-
Task-agnostic out-of-distribution detection using kernel density estimation.-
Out of distribution detection for medical images.- Robust selective
classification of skin lesions with asymmetric costs.- Confidence-based
Out-of-Distribution detection: a comparative study and analysis.- Novel
disease detection using ensembles with regularized disagreement.- PIPPI2021.-
Automatic Placenta Abnormality Detection using Convolutional Neural Networks
on Ultrasound Texture.- Simulated Half-Fourier Acquisitions Single-shot Turbo
Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution
Reconstruction.- Spatio-temporal atlas of normal fetal craniofacial feature
development and CNN-based ocular biometry for motion-corrected fetal MRI.-
Myelination of preterm brain networks at adolescence.- A bootstrap
self-training method for sequence transfer: State-of-the-art placenta
segmentation in fetal MRI.- Segmentation of the cortical plate in fetal brain
MRI with a topological loss.- Fetal brain MRI measurements using a deep
learning landmark network with reliability estimation.- CAS-Net: Conditional
Atlas Generation and Brain Segmentation for Fetal MRI.- Detection of Injury
and Automated Triage of Preterm Neonatal MRI using Patch-Based Gaussian
Processes.- Assessment of Regional Cortical Development through Fissure Based
Gestational Age Estimation in 3D Fetal Ultrasound.- Texture-based Analysis of
Fetal Organs in Fetal Growth Restriction.- Distributionally Robust
Segmentation of Abnormal Fetal Brain 3D MRI.- Analysis of the Anatomical
Variability of Fetal Brains with Corpus Callosum Agenesis.- Predicting
preterm birth using multimodal fetal imaging.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97830308773542e.html
Märksõnad: