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001439843 001__ 1439843
001439843 003__ OCoLC
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001439843 020__ $$a9783030874445$$q(electronic bk.)
001439843 020__ $$a3030874443$$q(electronic bk.)
001439843 020__ $$z9783030874438
001439843 020__ $$z3030874435
001439843 0247_ $$a10.1007/978-3-030-87444-5$$2doi
001439843 035__ $$aSP(OCoLC)1268984264
001439843 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dOCLCO$$dOCLCQ$$dOCLCO$$dOCLCQ
001439843 049__ $$aISEA
001439843 050_4 $$aRC78.7.D53$$bI58 2021
001439843 08204 $$a616.07/57$$223
001439843 24500 $$aInterpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data :$$b4th international workshop, and 1st international workshop, TDA4MedicalData 2021 : held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /$$cMauricio Reyes, Pedro Henriques Abreu, Jaime Cardoso, Mustafa Hajij, Ghada Zamzmi, Paul Rahul, Lokendra Thakur (eds.).
001439843 24630 $$aIMIMIC 2021
001439843 24630 $$aTDA4MedicalData
001439843 24630 $$aMICCAI 2021
001439843 264_1 $$aCham :$$bSpringer,$$c[2021]
001439843 264_4 $$c©2021
001439843 300__ $$a1 online resource :$$billustrations
001439843 336__ $$atext$$btxt$$2rdacontent
001439843 337__ $$acomputer$$bc$$2rdamedia
001439843 338__ $$aonline resource$$bcr$$2rdacarrier
001439843 4901_ $$aLecture notes in computer science ;$$v12929
001439843 4901_ $$aLNCS sublibrary: SL6 - Image processing, computer vision, pattern recognition, and graphics
001439843 500__ $$aInternational conference proceedings.
001439843 500__ $$aConference held virtually.
001439843 500__ $$aIncludes author index.
001439843 5050_ $$aiMIMIC 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.
001439843 506__ $$aAccess limited to authorized users.
001439843 520__ $$aThis 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.
001439843 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 30, 2021).
001439843 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001439843 650_0 $$aComputer-assisted surgery$$vCongresses.
001439843 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès.
001439843 650_6 $$aChirurgie assistée par ordinateur$$vCongrès.
001439843 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001439843 655_7 $$aConference papers and proceedings.$$2lcgft
001439843 655_7 $$aActes de congrès.$$2rvmgf
001439843 655_0 $$aElectronic books.
001439843 7001_ $$aReyes, Mauricio,$$eeditor.
001439843 7001_ $$aAbreu, Pedro Henriques,$$eeditor.
001439843 7001_ $$aCardoso, Jaime S.$$q(Jaime dos Santos),$$eeditor.
001439843 7001_ $$aHajij, Mustafa,$$eeditor.
001439843 7001_ $$aZamzmi, Ghada,$$eeditor.
001439843 7001_ $$aRahul, Paul,$$eeditor.
001439843 7001_ $$aThakur, Lokendra,$$eeditor.
001439843 7112_ $$aiMIMIC (Workshop)$$n(4th :$$d2021 :$$cOnline)
001439843 7112_ $$aTDA4MedicalData (Workshop)$$n(1st :$$d2021 :$$cOnline)
001439843 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(24th :$$d2021 :$$cOnline)
001439843 77608 $$iPrint version:$$tInterpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data.$$dCham : Springer, [2021]$$z3030874435$$z9783030874438$$w(OCoLC)1264388961
001439843 830_0 $$aLecture notes in computer science ;$$v12929.
001439843 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001439843 852__ $$bebk
001439843 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87444-5$$zOnline Access$$91397441.1
001439843 909CO $$ooai:library.usi.edu:1439843$$pGLOBAL_SET
001439843 980__ $$aBIB
001439843 980__ $$aEBOOK
001439843 982__ $$aEbook
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