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Überdiagnose von Melanomen - Ursachen, Konsequenzen und Lösungsansätze.
Kutzner H, Jutzi TB, Krahl D, Krieghoff-Henning EI, Heppt MV, Hekler A, Schmitt M, Maron RCR, Fröhling S, von Kalle C, Brinker TJ. Kutzner H, et al. Among authors: krahl d. J Dtsch Dermatol Ges. 2020 Nov;18(11):1236-1244. doi: 10.1111/ddg.14233_g. J Dtsch Dermatol Ges. 2020. PMID: 33251725 Review. German.
Overdiagnosis of melanoma - causes, consequences and solutions.
Kutzner H, Jutzi TB, Krahl D, Krieghoff-Henning EI, Heppt MV, Hekler A, Schmitt M, Maron RCR, Fröhling S, von Kalle C, Brinker TJ. Kutzner H, et al. Among authors: krahl d. J Dtsch Dermatol Ges. 2020 Nov;18(11):1236-1243. doi: 10.1111/ddg.14233. Epub 2020 Aug 25. J Dtsch Dermatol Ges. 2020. PMID: 32841508 Review.
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification.
Höhn J, Krieghoff-Henning E, Jutzi TB, von Kalle C, Utikal JS, Meier F, Gellrich FF, Hobelsberger S, Hauschild A, Schlager JG, French L, Heinzerling L, Schlaak M, Ghoreschi K, Hilke FJ, Poch G, Kutzner H, Heppt MV, Haferkamp S, Sondermann W, Schadendorf D, Schilling B, Goebeler M, Hekler A, Fröhling S, Lipka DB, Kather JN, Krahl D, Ferrara G, Haggenmüller S, Brinker TJ. Höhn J, et al. Among authors: krahl d. Eur J Cancer. 2021 May;149:94-101. doi: 10.1016/j.ejca.2021.02.032. Epub 2021 Apr 7. Eur J Cancer. 2021. PMID: 33838393 Free article.
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours.
Brinker TJ, Kiehl L, Schmitt M, Jutzi TB, Krieghoff-Henning EI, Krahl D, Kutzner H, Gholam P, Haferkamp S, Klode J, Schadendorf D, Hekler A, Fröhling S, Kather JN, Haggenmüller S, von Kalle C, Heppt M, Hilke F, Ghoreschi K, Tiemann M, Wehkamp U, Hauschild A, Weichenthal M, Utikal JS. Brinker TJ, et al. Among authors: krahl d. Eur J Cancer. 2021 Sep;154:227-234. doi: 10.1016/j.ejca.2021.05.026. Epub 2021 Jul 20. Eur J Cancer. 2021. PMID: 34298373 Free article.
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
Haggenmüller S, Maron RC, Hekler A, Utikal JS, Barata C, Barnhill RL, Beltraminelli H, Berking C, Betz-Stablein B, Blum A, Braun SA, Carr R, Combalia M, Fernandez-Figueras MT, Ferrara G, Fraitag S, French LE, Gellrich FF, Ghoreschi K, Goebeler M, Guitera P, Haenssle HA, Haferkamp S, Heinzerling L, Heppt MV, Hilke FJ, Hobelsberger S, Krahl D, Kutzner H, Lallas A, Liopyris K, Llamas-Velasco M, Malvehy J, Meier F, Müller CSL, Navarini AA, Navarrete-Dechent C, Perasole A, Poch G, Podlipnik S, Requena L, Rotemberg VM, Saggini A, Sangueza OP, Santonja C, Schadendorf D, Schilling B, Schlaak M, Schlager JG, Sergon M, Sondermann W, Soyer HP, Starz H, Stolz W, Vale E, Weyers W, Zink A, Krieghoff-Henning E, Kather JN, von Kalle C, Lipka DB, Fröhling S, Hauschild A, Kittler H, Brinker TJ. Haggenmüller S, et al. Among authors: krahl d. Eur J Cancer. 2021 Oct;156:202-216. doi: 10.1016/j.ejca.2021.06.049. Epub 2021 Sep 8. Eur J Cancer. 2021. PMID: 34509059 Free article.
Reply to the letter to the editor: 'Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images'.
Hekler A, Utikal JS, Solass W, Schmitt M, Klode J, Schadendorf D, Sondermann W, Franklin C, Bestvater F, Krahl D, von Kalle C, Fröhling S, Brinker TJ. Hekler A, et al. Among authors: krahl d. Eur J Cancer. 2020 May;130:262-264. doi: 10.1016/j.ejca.2019.12.024. Epub 2020 Jan 30. Eur J Cancer. 2020. PMID: 32008919 Free article. No abstract available.
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study.
Schmitt M, Maron RC, Hekler A, Stenzinger A, Hauschild A, Weichenthal M, Tiemann M, Krahl D, Kutzner H, Utikal JS, Haferkamp S, Kather JN, Klauschen F, Krieghoff-Henning E, Fröhling S, von Kalle C, Brinker TJ. Schmitt M, et al. Among authors: krahl d. J Med Internet Res. 2021 Feb 2;23(2):e23436. doi: 10.2196/23436. J Med Internet Res. 2021. PMID: 33528370 Free PMC article.
Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists.
Brinker TJ, Schmitt M, Krieghoff-Henning EI, Barnhill R, Beltraminelli H, Braun SA, Carr R, Fernandez-Figueras MT, Ferrara G, Fraitag S, Gianotti R, Llamas-Velasco M, Müller CSL, Perasole A, Requena L, Sangueza OP, Santonja C, Starz H, Vale E, Weyers W, Hekler A, Kather JN, Fröhling S, Krahl D, Holland-Letz T, Utikal JS, Saggini A, Kutzner H. Brinker TJ, et al. Among authors: krahl d. J Am Acad Dermatol. 2022 Mar;86(3):640-642. doi: 10.1016/j.jaad.2021.02.009. Epub 2021 Feb 11. J Am Acad Dermatol. 2022. PMID: 33581189 Free article. No abstract available.
85 results