001449685 000__ 04500cam\a2200613\i\4500
001449685 001__ 1449685
001449685 003__ OCoLC
001449685 005__ 20230310004413.0
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001449685 007__ cr\un\nnnunnun
001449685 008__ 220921s2022\\\\sz\a\\\\o\\\\\101\0\eng\d
001449685 019__ $$a1344536045$$a1344542197
001449685 020__ $$a9783031168765$$q(electronic bk.)
001449685 020__ $$a3031168763$$q(electronic bk.)
001449685 020__ $$z9783031168758
001449685 020__ $$z3031168755
001449685 0247_ $$a10.1007/978-3-031-16876-5$$2doi
001449685 035__ $$aSP(OCoLC)1345286159
001449685 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ$$dUKAHL
001449685 049__ $$aISEA
001449685 050_4 $$aRC78.7.D53$$bI58 2022eb
001449685 08204 $$a616.07/54$$223/eng/20220921
001449685 1112_ $$aREMIA (Workshop)$$n(1st :$$d2022 :$$cSingapore ; Online)
001449685 24510 $$aResource-efficient medical image analysis :$$bfirst MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings /$$cXinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu (eds.).
001449685 2463_ $$aREMIA 2022
001449685 264_1 $$aCham :$$bSpringer,$$c2022.
001449685 300__ $$a1 online resource (x, 137 pages) :$$billustrations (some color).
001449685 336__ $$atext$$btxt$$2rdacontent
001449685 337__ $$acomputer$$bc$$2rdamedia
001449685 338__ $$aonline resource$$bcr$$2rdacarrier
001449685 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13543
001449685 500__ $$aIncludes author index.
001449685 5050_ $$aMulti-Task Semi-Supervised Learning for Vascular Network -- Segmentation and Renal Cell Carcinoma Classification -- Self-supervised Antigen Detection Artificial Intelligence (SANDI) -- RadTex: Learning Effcient Radiograph Representations from Text Reports -- Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification -- Triple-View Feature Learning for Medical Image Segmentation -- Classification of 4D fMRI Images Using ML, Focusing on Computational and Memory Utilization Effciency -- An Effcient Defending Mechanism Against Image Attacking On Medical Image Segmentation Models -- Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning -- Pathological Image Contrastive Self-Supervised Learning -- Investigation of Training Multiple Instance Learning Networks with Instance Sampling -- Masked Video Modeling with Correlation-aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound -- A self-attentive meta-learning approach for image-based few-shot disease detection -- Facing Annotation Redundancy: OCT Layer Segmentation with Only 10 Annotated Pixels Per Layer.
001449685 506__ $$aAccess limited to authorized users.
001449685 520__ $$aThis book constitutes the refereed proceedings of the first MICCAI Workshop on Resource-Efficient Medical Image Analysis, REMIA 2022, held in conjunction with MICCAI 2022, in September 2022 as a hybrid event. REMIA 2022 accepted 13 papers from the 19 submissions received. The workshop aims at creating a discussion on the issues for practical applications of medical imaging systems with data, label and hardware limitations.
001449685 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 21, 2022).
001449685 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001449685 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449685 655_0 $$aElectronic books.
001449685 7001_ $$aXu, Xinxing,$$eeditor.$$0(orcid)0000-0003-1449-3072$$1https://orcid.org/0000-0003-1449-3072
001449685 7001_ $$aLi, Xiaomeng,$$eeditor.$$0(orcid)0000-0003-1105-8083$$1https://orcid.org/0000-0003-1105-8083
001449685 7001_ $$aMahapatra, Dwarikanath,$$eeditor.$$0(orcid)0000-0001-9749-7858$$1https://orcid.org/0000-0001-9749-7858
001449685 7001_ $$aCheng, Li,$$eeditor.$$0(orcid)0000-0003-3261-3533$$1https://orcid.org/0000-0003-3261-3533
001449685 7001_ $$aPetitjean, Caroline,$$eeditor.$$0(orcid)0000-0003-0013-5370$$1https://orcid.org/0000-0003-0013-5370
001449685 7001_ $$aFu, Huazhu,$$eeditor.$$1https://orcid.org/0000-0002-9702-5524
001449685 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(25th :$$d2022 :$$cSingapore ; Online)
001449685 77608 $$iPrint version: $$z3031168755$$z9783031168758$$w(OCoLC)1342101665
001449685 830_0 $$aLecture notes in computer science ;$$v13543.$$x1611-3349
001449685 852__ $$bebk
001449685 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16876-5$$zOnline Access$$91397441.1
001449685 909CO $$ooai:library.usi.edu:1449685$$pGLOBAL_SET
001449685 980__ $$aBIB
001449685 980__ $$aEBOOK
001449685 982__ $$aEbook
001449685 983__ $$aOnline
001449685 994__ $$a92$$bISE