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Interpretability of machine intellig...
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(1998 :)
Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data4th International Workshop, iMIMIC 2021 and 1st International Workshop, TDA4MedicalData 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical dataedited by Mauricio Reyes ... [et al.].
Reminder of title:
4th International Workshop, iMIMIC 2021 and 1st International Workshop, TDA4MedicalData 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
remainder title:
iMIMIC 2021
other author:
Reyes, Mauricio.
Published:
Cham :Springer International Publishing :2021.
Description:
x, 129 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Diagnostic imagingCongresses.Data processing
Online resource:
https://doi.org/10.1007/978-3-030-87444-5
ISBN:
9783030874445$q(electronic bk.)
Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data4th International Workshop, iMIMIC 2021 and 1st International Workshop, TDA4MedicalData 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data
4th International Workshop, iMIMIC 2021 and 1st International Workshop, TDA4MedicalData 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /[electronic resource] :iMIMIC 2021edited by Mauricio Reyes ... [et al.]. - Cham :Springer International Publishing :2021. - x, 129 p. :ill., digital ;24 cm. - Lecture notes in computer science,129290302-9743 ;. - Lecture notes in computer science ;4891..
iMIMIC 2021 Workshop -- Interpretable Deep Learning for Surgical Tool Management -- Soft Attention Improves Skin Cancer Classification Performance -- Deep Gradient based on Collective Arti cial Intelligence for AD Diagnosis and Prognosis -- This explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks -- Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions -- The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data -- Voxel-level Importance Maps for Interpretable Brain Age Estimation -- TDA4MedicalData Workshop -- Lattice Paths for Persistent Diagrams -- Neighborhood complex based machine learning (NCML) models for drug design -- Predictive modelling of highly multiplexed tumour tissue images by graph neural networks -- Statistical modeling of pulmonary vasculatures with topological priors in CT volumes -- Topological Detection of Alzheimer's Disease using Betti Curves.
This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021. The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.
ISBN: 9783030874445$q(electronic bk.)
Standard No.: 10.1007/978-3-030-87444-5doiSubjects--Topical Terms:
445765
Diagnostic imaging
--Data processing--Congresses.
LC Class. No.: RC78.7.D53 / I58 2021
Dewey Class. No.: 616.0757
Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data4th International Workshop, iMIMIC 2021 and 1st International Workshop, TDA4MedicalData 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
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This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021. The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.
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based on 0 review(s)
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