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Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological images
Marmé, Frederik, Krieghoff-Henning, Eva, Gerber, Bernd, Schmitt, Max, Zahm, Dirk-Michael, Bauerschlag, Dirk, Forstbauer, Helmut, Hildebrandt, Guido, Ataseven, Beyhan, Brodkorb, Tobias, Denkert, Carsten, Stachs, Angrit, Krug, David, Heil, Jörg, Golatta, Michael, Kühn, Thorsten, Nekljudova, Valentina, Gaiser, Timo, Schönmehl, Rebecca, Brochhausen, Christoph, Loibl, Sibylle, Reimer, Toralf and Brinker, Titus J. (2023) Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological images. European Journal of Cancer 195, p. 113390.Date of publication of this fulltext: 18 Mar 2025 10:10
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| Item type | Article | ||||
| Journal or Publication Title | European Journal of Cancer | ||||
| Publisher: | ELSEVIER SCI LTD | ||||
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| Place of Publication: | OXFORD | ||||
| Volume: | 195 | ||||
| Page Range: | p. 113390 | ||||
| Date | 2023 | ||||
| Institutions | Medicine > Lehrstuhl für Pathologie | ||||
| Identification Number |
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| Keywords | ; Sentinel; Lymph node status; Deep learning; Breast cancer; Digital biomarker | ||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 76185 |
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