000 | 05575nam a22007575i 4500 | ||
---|---|---|---|
001 | 978-3-031-21083-9 | ||
003 | DE-He213 | ||
005 | 20240423130251.0 | ||
007 | cr nn 008mamaa | ||
008 | 221209s2022 sz | s |||| 0|eng d | ||
020 |
_a9783031210839 _9978-3-031-21083-9 |
||
024 | 7 |
_a10.1007/978-3-031-21083-9 _2doi |
|
050 | 4 | _aTA1501-1820 | |
050 | 4 | _aTA1634 | |
072 | 7 |
_aUYT _2bicssc |
|
072 | 7 |
_aCOM016000 _2bisacsh |
|
072 | 7 |
_aUYT _2thema |
|
082 | 0 | 4 |
_a006 _223 |
245 | 1 | 0 |
_aImaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis _h[electronic resource] : _bFirst MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / _cedited by Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej Papiez, Russell H. Taylor, Emanuele Trucco. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2022. |
|
300 |
_aXII, 129 p. 35 illus., 34 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13754 |
|
505 | 0 | _aImaging Systems for GI Endoscopy -- Light Adaptation for Classification of the Upper Gastrointestinal Sites -- Criss-Cross Attention based Multi-Level Fusion Network for Gastric Intestinal Metaplasia Segmentation -- Colonoscopy Landmark Detection using Vision Transformers -- Real-Time Lumen Detection for Autonomous Colonoscopy -- SuperPoint Features in Endoscopy -- Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos -- Graphs in Biomedical Image Analysis -- Modular Graph Encoding and Hierarchical Readout for Functional Brain Network based eMCI Diagnosis -- Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients -- Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation -- Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification -- TaG-Net: Topology-aware Graph Network for Vessel Labeling -- Transforming connectomes to “any” parcellation via graph matching. | |
520 | _aThis book constitutes the refereed proceedings of the first MICCAI Workshop, ISGIE 2022, Imaging Systems for GI Endoscopy, and the Fourth MICCAI Workshop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022. ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well as the autonomous system for endorobot for GI endoscopy. This includes lesion and lumen detection, as well as 3D reconstruction of the GI tract and hand-eye coordination. GRAIL 2022 accepted 6 papers from the 10 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts. | ||
650 | 0 |
_aImage processing _xDigital techniques. |
|
650 | 0 | _aComputer vision. | |
650 | 0 | _aComputer engineering. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 |
_aEducation _xData processing. |
|
650 | 0 |
_aSocial sciences _xData processing. |
|
650 | 1 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
650 | 2 | 4 | _aComputer Engineering and Networks. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Engineering and Networks. |
650 | 2 | 4 | _aComputers and Education. |
650 | 2 | 4 | _aComputer Application in Social and Behavioral Sciences. |
700 | 1 |
_aManfredi, Luigi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aAhmadi, Seyed-Ahmad. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aBronstein, Michael. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aKazi, Anees. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aLomanto, Davide. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMathew, Alwyn. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMagerand, Ludovic. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMullakaeva, Kamilia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aPapiez, Bartlomiej. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aTaylor, Russell H. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aTrucco, Emanuele. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031210822 |
776 | 0 | 8 |
_iPrinted edition: _z9783031210846 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13754 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-21083-9 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cSPRINGER | ||
999 |
_c186791 _d186791 |