{"id":"https://openalex.org/W2785445198","doi":"https://doi.org/10.11588/heidok.00011820","title":"Image Analysis for the Life Sciences - Computer-assisted Tumor Diagnostics and Digital Embryomics","display_name":"Image Analysis for the Life Sciences - Computer-assisted Tumor Diagnostics and Digital Embryomics","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2785445198","doi":"https://doi.org/10.11588/heidok.00011820","mag":"2785445198"},"language":"en","primary_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:11820","is_oa":true,"landing_page_url":null,"pdf_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/11820/1/thesis_fkaster.pdf","source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/11820/1/thesis_fkaster.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083853552","display_name":"Frederik O. Kaster","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kaster, Frederik Orlando","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5083853552"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17681866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.7774999737739563,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.7774999737739563,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.6791999936103821,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912059187889099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6372506022453308},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5793834328651428},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5366978049278259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4692269265651703},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4482545554637909},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4465055465698242},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40143847465515137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35632485151290894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912059187889099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6372506022453308},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5793834328651428},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5366978049278259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4692269265651703},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4482545554637909},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4465055465698242},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40143847465515137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35632485151290894},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:11820","is_oa":true,"landing_page_url":null,"pdf_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/11820/1/thesis_fkaster.pdf","source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"doi:10.11588/heidok.00011820","is_oa":true,"landing_page_url":"https://doi.org/10.11588/heidok.00011820","pdf_url":null,"source":{"id":"https://openalex.org/S7407051545","display_name":"University Library Heidelberg","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2785445198","is_oa":false,"landing_page_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/11820/index.html","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:11820","is_oa":true,"landing_page_url":null,"pdf_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/11820/1/thesis_fkaster.pdf","source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310693","display_name":"Deutsches Krebsforschungszentrum","ror":"https://ror.org/04cdgtt98"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320334889","display_name":"Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, University of Heidelberg","ror":"https://ror.org/038t36y30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2785445198.pdf","grobid_xml":"https://content.openalex.org/works/W2785445198.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2006587375","https://openalex.org/W2500115516","https://openalex.org/W2115456676","https://openalex.org/W1532387977","https://openalex.org/W2989991458","https://openalex.org/W1009360043","https://openalex.org/W57752798","https://openalex.org/W3184646528","https://openalex.org/W3110991436","https://openalex.org/W1574347237","https://openalex.org/W1658864987","https://openalex.org/W2614885555","https://openalex.org/W2480404813","https://openalex.org/W2605860719","https://openalex.org/W155930940","https://openalex.org/W2911471044","https://openalex.org/W1961684045","https://openalex.org/W2468295695","https://openalex.org/W1937307329","https://openalex.org/W3128248230"],"abstract_inverted_index":{"Current":[0],"research":[1],"in":[2,118],"the":[3,7,38,54,68,133,140,152],"life":[4],"sciences":[5],"involves":[6],"analysis":[8,164],"of":[9,14,40,57,70,136],"such":[10],"a":[11,78,84,185],"huge":[12],"amount":[13],"image":[15,154,163],"data":[16,66],"that":[17,94,130,149],"automatization":[18],"is":[19,192],"required.":[20],"This":[21],"thesis":[22],"presents":[23],"several":[24,124],"ways":[25],"how":[26],"pattern":[27,119],"recognition":[28],"techniques":[29],"may":[30],"contribute":[31],"to":[32,37,161],"improved":[33,55],"tumor":[34,73,96,128],"diagnostics":[35],"and":[36,75,90,111,184,194],"elucidation":[39],"vertebrate":[41],"embryonic":[42,170],"development.":[43],"Chapter":[44,81,121,156],"1":[45],"studies":[46,123],"an":[47,162],"approach":[48],"for":[49,53,87,116,126,132,146,166,178,187],"exploiting":[50],"spatial":[51],"context":[52],"estimation":[56],"metabolite":[58],"concentrations":[59],"from":[60],"magnetic":[61],"resonance":[62],"spectroscopy":[63],"imaging":[64],"(MRSI)":[65],"with":[67],"aim":[69],"more":[71],"robust":[72],"detection,":[74],"compares":[76],"against":[77],"novel":[79],"alternative.":[80],"2":[82],"describes":[83],"software":[85],"library":[86],"training,":[88],"testing":[89],"validating":[91],"classification":[92],"algorithms":[93],"estimate":[95],"probability":[97],"based":[98,172],"on":[99,173],"MRSI.":[100],"It":[101],"allows":[102],"flexible":[103],"adaptation":[104],"towards":[105],"changed":[106],"experimental":[107],"conditions,":[108],"classifier":[109],"comparison":[110],"quality":[112],"control":[113],"without":[114],"need":[115],"expertise":[117],"recognition.":[120],"3":[122],"models":[125,143],"learning":[127],"classifiers":[129],"allow":[131],"common":[134],"unreliability":[135],"human":[137],"segmentations.":[138],"For":[139],"first":[141],"time,":[142],"are":[144,181],"used":[145],"this":[147],"task":[148],"additionally":[150],"employ":[151],"objective":[153],"information.":[155],"4":[157],"encompasses":[158],"two":[159],"contributions":[160],"pipeline":[165],"automatically":[167],"reconstructing":[168],"zebrafish":[169],"development":[171],"time-resolved":[174],"microscopy:":[175],"Two":[176],"approaches":[177],"nucleus":[179],"segmentation":[180],"experimentally":[182],"compared,":[183],"procedure":[186],"tracking":[188],"nuclei":[189],"over":[190],"time":[191],"presented":[193],"evaluated.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
