Unsupervised anomaly detection in the wild
Unsupervised anomaly detection is often attributed great promise, especially for rare conditions and fast adaptation to novel conditions or imaging techniques without the need for explicitly labeled data. However, most previous works study different methods in a constrained research setting with a l...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) Kapitel/Artikel |
| Sprache: | Deutsch |
| Veröffentlicht: |
05 April 2022
|
| In: |
Bildverarbeitung für die Medizin 2022
Year: 2022, Pages: 26-31 |
| DOI: | 10.1007/978-3-658-36932-3_6 |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: https://doi.org/10.1007/978-3-658-36932-3_6
|
| Verfasserangaben: | David Zimmerer, Daniel Paech, Carsten Lüth, Jens Petersen, Gregor Köhler, Klaus Maier-Hein |
MARC
| LEADER | 00000naa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1937406717 | ||
| 003 | DE-627 | ||
| 005 | 20250930132759.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250930s2022 xx |||||o 00| ||ger c | ||
| 024 | 7 | |a 10.1007/978-3-658-36932-3_6 |2 doi | |
| 035 | |a (DE-627)1937406717 | ||
| 035 | |a (DE-599)KXP1937406717 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a ger | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Zimmerer, David |d 1994- |e VerfasserIn |0 (DE-588)1276158033 |0 (DE-627)1828116300 |4 aut | |
| 245 | 1 | 0 | |a Unsupervised anomaly detection in the wild |c David Zimmerer, Daniel Paech, Carsten Lüth, Jens Petersen, Gregor Köhler, Klaus Maier-Hein |
| 264 | 1 | |c 05 April 2022 | |
| 300 | |a 6 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 30.09.2025 | ||
| 520 | |a Unsupervised anomaly detection is often attributed great promise, especially for rare conditions and fast adaptation to novel conditions or imaging techniques without the need for explicitly labeled data. However, most previous works study different methods in a constrained research setting with a limited number of common types of pathologies. Here, we want to explore a more realistic setting and target the incidental findings in a large-scale population study with 10000 participants using a recent anomaly detection approach. Despite the difficulties in selecting a proper training set in such scenarios, we were able to produce promising quantitative results and detected 31 anomalies which were not reported previously. Evaluation by a radiologist revealed remaining open challenges when it comes to the detection of less conspicuous anomalies. | ||
| 700 | 1 | |a Paech, Daniel |d 1986- |e VerfasserIn |0 (DE-588)1080278214 |0 (DE-627)844124893 |0 (DE-576)453464742 |4 aut | |
| 700 | 1 | |a Lüth, Carsten |e VerfasserIn |0 (DE-588)1262948428 |0 (DE-627)1810862000 |4 aut | |
| 700 | 1 | |a Petersen, Jens |d 1988- |e VerfasserIn |0 (DE-588)1197162348 |0 (DE-627)1678966665 |4 aut | |
| 700 | 1 | |a Köhler, Gregor |e VerfasserIn |0 (DE-588)1237383773 |0 (DE-627)1764084845 |4 aut | |
| 700 | 1 | |a Maier-Hein, Klaus H. |d 1980- |e VerfasserIn |0 (DE-588)1100551875 |0 (DE-627)85946461X |0 (DE-576)333771222 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |a German Workshop on Medical Image Computing (2022 : Heidelberg) |t Bildverarbeitung für die Medizin 2022 |d Wiesbaden : Springer Gabler, 2022 |g (2022), Seite 26-31 |h 1 Online-Ressource (xx, 356 Seiten, 142 Abb.) |w (DE-627)1799312186 |z 9783658369323 |7 nnam |
| 773 | 1 | 8 | |g year:2022 |g pages:26-31 |g extent:6 |a Unsupervised anomaly detection in the wild |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-658-36932-3_6 |x Resolving-System |x Verlag |z kostenfrei |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20250930 | ||
| 993 | |a Article | ||
| 994 | |a 2022 | ||
| 998 | |g 1100551875 |a Maier-Hein, Klaus H. |m 1100551875:Maier-Hein, Klaus H. |d 910000 |d 911400 |e 910000PM1100551875 |e 911400PM1100551875 |k 0/910000/ |k 1/910000/911400/ |p 6 |y j | ||
| 998 | |g 1262948428 |a Lüth, Carsten |m 1262948428:Lüth, Carsten |d 110000 |e 110000PL1262948428 |k 0/110000/ |p 3 | ||
| 998 | |g 1080278214 |a Paech, Daniel |m 1080278214:Paech, Daniel |d 50000 |e 50000PP1080278214 |k 0/50000/ |p 2 | ||
| 998 | |g 1276158033 |a Zimmerer, David |m 1276158033:Zimmerer, David |d 110000 |e 110000PZ1276158033 |k 0/110000/ |p 1 |x j | ||
| 999 | |a KXP-PPN1937406717 |e 4777932761 | ||
| BIB | |a Y | ||
| JSO | |a {"id":{"eki":["1937406717"],"doi":["10.1007/978-3-658-36932-3_6"]},"name":{"displayForm":["David Zimmerer, Daniel Paech, Carsten Lüth, Jens Petersen, Gregor Köhler, Klaus Maier-Hein"]},"note":["Gesehen am 30.09.2025"],"language":["ger"],"type":{"bibl":"chapter","media":"Online-Ressource"},"title":[{"title":"Unsupervised anomaly detection in the wild","title_sort":"Unsupervised anomaly detection in the wild"}],"relHost":[{"person":[{"family":"Maier-Hein","given":"Klaus H.","role":"edt","display":"Maier-Hein, Klaus H."},{"display":"Deserno, Thomas M.","family":"Deserno","given":"Thomas M.","role":"edt"},{"display":"Handels, Heinz","role":"edt","given":"Heinz","family":"Handels"},{"display":"Maier, Andreas","family":"Maier","given":"Andreas","role":"edt"},{"display":"Palm, Christoph","family":"Palm","role":"edt","given":"Christoph"},{"display":"Tolxdorff, Thomas","family":"Tolxdorff","role":"edt","given":"Thomas"}],"origin":[{"dateIssuedDisp":"[2022]","publisherPlace":"Wiesbaden","dateIssuedKey":"2022","publisher":"Springer Gabler"}],"language":["ger"],"type":{"media":"Online-Ressource","bibl":"book"},"title":[{"subtitle":"proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022","title_sort":"Bildverarbeitung für die Medizin 2022","title":"Bildverarbeitung für die Medizin 2022"}],"physDesc":[{"extent":"1 Online-Ressource (xx, 356 Seiten, 142 Abb.)"}],"recId":"1799312186","disp":"German Workshop on Medical Image Computing (2022 : Heidelberg)Bildverarbeitung für die Medizin 2022","corporate":[{"display":"German Workshop on Medical Image Computing (2022, Heidelberg)","role":"aut"}],"name":{"displayForm":["Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Hrsg.)"]},"part":{"pages":"26-31","year":"2022","text":"(2022), Seite 26-31","extent":"6"},"id":{"eki":["1799312186"],"isbn":["9783658369323"],"doi":["10.1007/978-3-658-36932-3"]}}],"person":[{"given":"David","role":"aut","family":"Zimmerer","display":"Zimmerer, David"},{"display":"Paech, Daniel","family":"Paech","role":"aut","given":"Daniel"},{"display":"Lüth, Carsten","family":"Lüth","role":"aut","given":"Carsten"},{"family":"Petersen","given":"Jens","role":"aut","display":"Petersen, Jens"},{"family":"Köhler","role":"aut","given":"Gregor","display":"Köhler, Gregor"},{"given":"Klaus H.","role":"aut","family":"Maier-Hein","display":"Maier-Hein, Klaus H."}],"origin":[{"dateIssuedDisp":"05 April 2022","dateIssuedKey":"2022"}],"physDesc":[{"extent":"6 S."}],"recId":"1937406717"} | ||
| SRT | |a ZIMMERERDAUNSUPERVIS0520 | ||