000 | 05369nam a22006375i 4500 | ||
---|---|---|---|
001 | 978-3-031-23223-7 | ||
003 | DE-He213 | ||
005 | 20240730172221.0 | ||
007 | cr nn 008mamaa | ||
008 | 221216s2022 sz | s |||| 0|eng d | ||
020 |
_a9783031232237 _9978-3-031-23223-7 |
||
024 | 7 |
_a10.1007/978-3-031-23223-7 _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 |
_aEthical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging _h[electronic resource] : _b1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings / _cedited by John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2022. |
|
300 |
_aXVIII, 135 p. 37 illus., 32 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 ; _v13755 |
|
505 | 0 | _aEthical and Philosophical Issues in Medical Imaging -- Data Poisoning Attack and Defenses in Connectome-based Predictive Models -- Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis -- Separable vs. End-to-End Learning: A critical examination of learning paradigms -- A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools -- User-centered design for surgical innovations: A ventriculostomy case study -- Multimodal Learning and Fusion Across Scales for Clinical Decision Support -- Visually Aware Metadata-guided Supervision for Improved Skin Lesion Classification using Deep Learning -- Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information -- Hybrid Network Based on Cross-modal Feature Fusion for Diagnosis of Alzheimer's Disease -- Topological Data Analysis for Biomedical Imaging -- Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks -- TDA-Clustering Strategies for the Characterization of Brain Organoids -- Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. | |
520 | _aThis book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topologyplays in machine learning and data science. | ||
650 | 0 |
_aImage processing _xDigital techniques. _94145 |
|
650 | 0 |
_aComputer vision. _9102382 |
|
650 | 0 |
_aApplication software. _9102385 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _9102389 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aBaxter, John S. H. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102390 |
|
700 | 1 |
_aRekik, Islem. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102392 |
|
700 | 1 |
_aEagleson, Roy. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102393 |
|
700 | 1 |
_aZhou, Luping. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102394 |
|
700 | 1 |
_aSyeda-Mahmood, Tanveer. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102395 |
|
700 | 1 |
_aWang, Hongzhi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _94897 |
|
700 | 1 |
_aHajij, Mustafa. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102396 |
|
710 | 2 |
_aSpringerLink (Online service) _9102398 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031232220 |
776 | 0 | 8 |
_iPrinted edition: _z9783031232244 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13755 _923263 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-23223-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c88107 _d88107 |