Eintrag weiter verarbeiten
Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
Gespeichert in:
| Zeitschriftentitel: | Autopsy and Case Reports |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | Autopsy and Case Reports, 8, 2018, 1 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Editora Cubo
|
| Schlagwörter: |
| author_facet |
O Sullivan, Shane Holzinger, Andreas Wichmann, Dominic Saldiva, Paulo Hilario Nascimento Sajid, Mohammed Imran Zatloukal, Kurt O Sullivan, Shane Holzinger, Andreas Wichmann, Dominic Saldiva, Paulo Hilario Nascimento Sajid, Mohammed Imran Zatloukal, Kurt |
|---|---|
| author |
O Sullivan, Shane Holzinger, Andreas Wichmann, Dominic Saldiva, Paulo Hilario Nascimento Sajid, Mohammed Imran Zatloukal, Kurt |
| spellingShingle |
O Sullivan, Shane Holzinger, Andreas Wichmann, Dominic Saldiva, Paulo Hilario Nascimento Sajid, Mohammed Imran Zatloukal, Kurt Autopsy and Case Reports Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients Pathology and Forensic Medicine Internal Medicine |
| author_sort |
o sullivan, shane |
| spelling |
O Sullivan, Shane Holzinger, Andreas Wichmann, Dominic Saldiva, Paulo Hilario Nascimento Sajid, Mohammed Imran Zatloukal, Kurt 2236-1960 Editora Cubo Pathology and Forensic Medicine Internal Medicine http://dx.doi.org/10.4322/acr.2018.003 Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients Autopsy and Case Reports |
| doi_str_mv |
10.4322/acr.2018.003 |
| facet_avail |
Online Free |
| finc_class_facet |
Medizin |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDMyMi9hY3IuMjAxOC4wMDM |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDMyMi9hY3IuMjAxOC4wMDM |
| institution |
DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 |
| imprint |
Editora Cubo, 2018 |
| imprint_str_mv |
Editora Cubo, 2018 |
| issn |
2236-1960 |
| issn_str_mv |
2236-1960 |
| language |
Undetermined |
| mega_collection |
Editora Cubo (CrossRef) |
| match_str |
osullivan2018virtualautopsymachinelearningandartificialintelligenceprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients |
| publishDateSort |
2018 |
| publisher |
Editora Cubo |
| recordtype |
ai |
| record_format |
ai |
| series |
Autopsy and Case Reports |
| source_id |
49 |
| title |
Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_unstemmed |
Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_full |
Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_fullStr |
Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_full_unstemmed |
Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_short |
Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_sort |
virtual autopsy: machine learning and artificial intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| topic |
Pathology and Forensic Medicine Internal Medicine |
| url |
http://dx.doi.org/10.4322/acr.2018.003 |
| publishDate |
2018 |
| physical |
|
| description |
|
| container_issue |
1 |
| container_start_page |
0 |
| container_title |
Autopsy and Case Reports |
| container_volume |
8 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792332982718038016 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T14:05:31.061Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Virtual+autopsy%3A+Machine+Learning+and+Artificial+Intelligence+provide+new+opportunities+for+investigating+minimal+tumor+burden+and+therapy+resistance+by+cancer+patients&rft.date=2018-01-01&genre=article&issn=2236-1960&volume=8&issue=1&jtitle=Autopsy+and+Case+Reports&atitle=Virtual+autopsy%3A+Machine+Learning+and+Artificial+Intelligence+provide+new+opportunities+for+investigating+minimal+tumor+burden+and+therapy+resistance+by+cancer+patients&aulast=Zatloukal&aufirst=Kurt&rft_id=info%3Adoi%2F10.4322%2Facr.2018.003&rft.language%5B0%5D=und |
| SOLR | |
| _version_ | 1792332982718038016 |
| author | O Sullivan, Shane, Holzinger, Andreas, Wichmann, Dominic, Saldiva, Paulo Hilario Nascimento, Sajid, Mohammed Imran, Zatloukal, Kurt |
| author_facet | O Sullivan, Shane, Holzinger, Andreas, Wichmann, Dominic, Saldiva, Paulo Hilario Nascimento, Sajid, Mohammed Imran, Zatloukal, Kurt, O Sullivan, Shane, Holzinger, Andreas, Wichmann, Dominic, Saldiva, Paulo Hilario Nascimento, Sajid, Mohammed Imran, Zatloukal, Kurt |
| author_sort | o sullivan, shane |
| container_issue | 1 |
| container_start_page | 0 |
| container_title | Autopsy and Case Reports |
| container_volume | 8 |
| description | |
| doi_str_mv | 10.4322/acr.2018.003 |
| facet_avail | Online, Free |
| finc_class_facet | Medizin |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDMyMi9hY3IuMjAxOC4wMDM |
| imprint | Editora Cubo, 2018 |
| imprint_str_mv | Editora Cubo, 2018 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
| issn | 2236-1960 |
| issn_str_mv | 2236-1960 |
| language | Undetermined |
| last_indexed | 2024-03-01T14:05:31.061Z |
| match_str | osullivan2018virtualautopsymachinelearningandartificialintelligenceprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients |
| mega_collection | Editora Cubo (CrossRef) |
| physical | |
| publishDate | 2018 |
| publishDateSort | 2018 |
| publisher | Editora Cubo |
| record_format | ai |
| recordtype | ai |
| series | Autopsy and Case Reports |
| source_id | 49 |
| spelling | O Sullivan, Shane Holzinger, Andreas Wichmann, Dominic Saldiva, Paulo Hilario Nascimento Sajid, Mohammed Imran Zatloukal, Kurt 2236-1960 Editora Cubo Pathology and Forensic Medicine Internal Medicine http://dx.doi.org/10.4322/acr.2018.003 Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients Autopsy and Case Reports |
| spellingShingle | O Sullivan, Shane, Holzinger, Andreas, Wichmann, Dominic, Saldiva, Paulo Hilario Nascimento, Sajid, Mohammed Imran, Zatloukal, Kurt, Autopsy and Case Reports, Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients, Pathology and Forensic Medicine, Internal Medicine |
| title | Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_full | Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_fullStr | Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_full_unstemmed | Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_short | Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_sort | virtual autopsy: machine learning and artificial intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| title_unstemmed | Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients |
| topic | Pathology and Forensic Medicine, Internal Medicine |
| url | http://dx.doi.org/10.4322/acr.2018.003 |