Download Image Segmentation And Uncertainty - eBooks (PDF)

Image Segmentation And Uncertainty


Image Segmentation And Uncertainty
DOWNLOAD

Download Image Segmentation And Uncertainty PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Image Segmentation And Uncertainty book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Image Segmentation And Uncertainty


Image Segmentation And Uncertainty
DOWNLOAD
Author : Roland Wilson
language : en
Publisher:
Release Date : 1988

Image Segmentation And Uncertainty written by Roland Wilson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.




Probabilistic Models For Interactive Medical Image Segmentation And Uncertainty Estimation


Probabilistic Models For Interactive Medical Image Segmentation And Uncertainty Estimation
DOWNLOAD
Author : Tzachi Hershkovich
language : en
Publisher:
Release Date : 2017

Probabilistic Models For Interactive Medical Image Segmentation And Uncertainty Estimation written by Tzachi Hershkovich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


Fully-automated segmentation algorithms offer fast, objective, and reproducible results for large data collections. However these techniques cannot handle tasks that require contextual knowledge not readily available in the images alone. Thus, the supervision of an expert is necessary. We present a generative model for image segmentation, based on a bayesian inference. Not only does our approach support an intuitive and convenient user interaction subject to the bottom-up constraints introduced by the image intensities, it also facilitates the main limitations of a human observer - 3D visualization and modality fusion. The user "dialogue" with the segmentation algorithm, via several mouse clicks in regions of disagreement, is formulated as an additional, spatial term in a global cost functional for 3D segmentation. The method is exemplified for the segmentation of regions of interest (ROIs) in three different datasets: cerebral hemorrhages (CH) in human brain CT scans; ventricles in degenerative mice brain MRI and tumors in multi-modal human brain MRI. In significant amount of study cases, user guidance might not be sufficient to solve image segmentation ambiguities. Hence, estimation of the uncertainty margins of the extracted anatomical structure or pathology boundaries should be considered. In this part of my thesis I study the concept of segmentation uncertainty of clinical images, acknowledging its great importance to patients follow up, user-interaction guidance and morphology-based population studies. We propose a novel approach for model-dependent uncertainty estimation for image segmentation. The key-contribution is an alternating, iterative algorithm for the generation of an image-specific uncertainty map. This is accomplished by defining a consistency-based measure and applying it to segmentation samples to estimate the uncertainty margins as well as the midline segmentation. We utilize the stochastic active contour framework as our segmentation generator, yet any sampling method can be applied. The method is validated on synthetic data for well-defined objects blurred with known Gaussian kernels. Qualitative and quantitative proofs of concept are further provided by an application of the proposed consistency-based algorithm to ensembles of stochastic segmentations of brain hemorrhage in CT scans. -- abstract.



Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging


Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging
DOWNLOAD
Author : Carole H. Sudre
language : en
Publisher: Springer Nature
Release Date : 2025-10-30

Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging written by Carole H. Sudre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-30 with Computers categories.


This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025. The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.



Medical Image Computing And Computer Assisted Intervention Miccai 2022


Medical Image Computing And Computer Assisted Intervention Miccai 2022
DOWNLOAD
Author : Linwei Wang
language : en
Publisher: Springer Nature
Release Date : 2022-09-15

Medical Image Computing And Computer Assisted Intervention Miccai 2022 written by Linwei Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Computers categories.


The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.



Measurement Uncertainty In Cell Image Segmentation Data Analysis


Measurement Uncertainty In Cell Image Segmentation Data Analysis
DOWNLOAD
Author : Jin Chu Wu
language : en
Publisher:
Release Date : 2013

Measurement Uncertainty In Cell Image Segmentation Data Analysis written by Jin Chu Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Cell image segmentation categories.




Medical Image Computing And Computer Assisted Intervention Miccai 2019


Medical Image Computing And Computer Assisted Intervention Miccai 2019
DOWNLOAD
Author : Dinggang Shen
language : en
Publisher: Springer Nature
Release Date : 2019-10-10

Medical Image Computing And Computer Assisted Intervention Miccai 2019 written by Dinggang Shen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-10 with Computers categories.


The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.



Medical Image Computing And Computer Assisted Intervention Miccai 2018


Medical Image Computing And Computer Assisted Intervention Miccai 2018
DOWNLOAD
Author : Alejandro F. Frangi
language : en
Publisher: Springer
Release Date : 2018-09-13

Medical Image Computing And Computer Assisted Intervention Miccai 2018 written by Alejandro F. Frangi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-13 with Computers categories.


The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.



From Uncertainty To Adaptivity


From Uncertainty To Adaptivity
DOWNLOAD
Author : Kung-Hao Liang
language : en
Publisher:
Release Date : 1997

From Uncertainty To Adaptivity written by Kung-Hao Liang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.




Medical Image Computing And Computer Assisted Intervention Miccai 2020


Medical Image Computing And Computer Assisted Intervention Miccai 2020
DOWNLOAD
Author : Anne L. Martel
language : en
Publisher: Springer Nature
Release Date : 2020-10-02

Medical Image Computing And Computer Assisted Intervention Miccai 2020 written by Anne L. Martel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-02 with Computers categories.


The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography



Proceedings Of The 8th International Symposium On Spatial Accuracy Assessment In Natural Resources And Environmental Sciences


Proceedings Of The 8th International Symposium On Spatial Accuracy Assessment In Natural Resources And Environmental Sciences
DOWNLOAD
Author : Deren Li
language : en
Publisher:
Release Date : 2008

Proceedings Of The 8th International Symposium On Spatial Accuracy Assessment In Natural Resources And Environmental Sciences written by Deren Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Geographic information systems categories.