001449882 000__ 04847cam\a2200649\i\4500
001449882 001__ 1449882
001449882 003__ OCoLC
001449882 005__ 20230310004423.0
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001449882 008__ 220928s2022\\\\sz\a\\\\o\\\\\101\0\eng\d
001449882 019__ $$a1345579661
001449882 020__ $$a9783031172663$$q(electronic bk.)
001449882 020__ $$a3031172663$$q(electronic bk.)
001449882 020__ $$z9783031172656
001449882 020__ $$z3031172655
001449882 0247_ $$a10.1007/978-3-031-17266-3$$2doi
001449882 035__ $$aSP(OCoLC)1346154862
001449882 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ$$dUKAHL
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001449882 050_4 $$aRC270.3.D53
001449882 08204 $$a616.99/40754$$223/eng/20220928
001449882 1112_ $$aCMMCA (Workshop)$$n(1st :$$d2022 :$$cOnline).
001449882 24510 $$aComputational mathematics modeling in cancer analysis :$$bfirst international workshop, CMMCA 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings /$$cWenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang (eds.).
001449882 24630 $$aCMMCA 2022
001449882 264_1 $$aCham :$$bSpringer,$$c[2022]
001449882 264_4 $$c©2022
001449882 300__ $$a1 online resource (x, 160 pages) :$$billustrations (chiefly color).
001449882 336__ $$atext$$btxt$$2rdacontent
001449882 337__ $$acomputer$$bc$$2rdamedia
001449882 338__ $$aonline resource$$bcr$$2rdacarrier
001449882 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13574
001449882 500__ $$aInternational conference proceedings.
001449882 500__ $$aIncludes author index.
001449882 5050_ $$aCellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma -- Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-cell Lymphoma -- Repeatability of Radiomic Features against Simulated Scanning Position Stochasticity across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-Institutional Study on Head-and-Neck Cases -- MLCN: Metric Learning Constrained Network for Whole Slide Image Classification with Bilinear Gated Attention Mechanism -- NucDETR: End-to-End Transformer for Nucleus Detection in Histopathology Images -- Self-supervised learning based on a pre-trained method for the subtype classification of spinal tumors -- CanDLE: Illuminating Biases in Transcriptomic Pan-Cancer Diagnosis -- Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns -- Modality-collaborative AI model Ensemble for Lung Cancer Early Diagnosis -- Clustering-based Multi-instance Learning Network for Whole Slide Image Classification -- Multi-task Learning-driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification -- Light Annotation Fine Segmentation: Histology Image Segmentation based on VGG Fusion with Global Normalisation CAM -- Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy -- Automatic Computer-aided Histopathologic Segmentation for Nasopharyngeal Carcinoma using Transformer Framework -- Accurate Breast Tumor Identification UsingComputational Ultrasound Image Features.
001449882 506__ $$aAccess limited to authorized users.
001449882 520__ $$aThis book constitutes the proceedings of the First Workshop on Computational Mathematics Modeling in Cancer Analysis (CMMCA2022), held in conjunction with MICCAI 2022, in Singapore in September 2022. Due to the COVID-19 pandemic restrictions, the CMMCA2022 was held virtually. DALI 2022 accepted 15 papers from the 16 submissions that were reviewed. A major focus of CMMCA2022 is to identify new cutting-edge techniques and their applications in cancer data analysis in response to trends and challenges in theoretical, computational and applied aspects of mathematics in cancer data analysis.
001449882 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 28, 2022).
001449882 650_0 $$aCancer$$xImaging$$vCongresses.
001449882 650_0 $$aCancer$$xMathematical models$$vCongresses.
001449882 655_0 $$aElectronic books.
001449882 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449882 655_7 $$aConference papers and proceedings.$$2lcgft
001449882 7001_ $$aQin, Wenjian,$$eeditor.
001449882 7001_ $$aZaki, Nazar,$$eeditor.
001449882 7001_ $$aZhang, Fa$$c(Computer scientist),$$eeditor.
001449882 7001_ $$aWu, Jia,$$eeditor.
001449882 7001_ $$aYang, Fan,$$eeditor.
001449882 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(25th :$$d2022 :$$cSingapore)
001449882 77608 $$iPrint version: $$z3031172655$$z9783031172656$$w(OCoLC)1342491325
001449882 830_0 $$aLecture notes in computer science ;$$v13574.$$x1611-3349
001449882 852__ $$bebk
001449882 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17266-3$$zOnline Access$$91397441.1
001449882 909CO $$ooai:library.usi.edu:1449882$$pGLOBAL_SET
001449882 980__ $$aBIB
001449882 980__ $$aEBOOK
001449882 982__ $$aEbook
001449882 983__ $$aOnline
001449882 994__ $$a92$$bISE