| Style | Citing Format |
|---|---|
| MLA | Thagaard J, et al.. "Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group." Journal of Pathology, vol. 260, no. 5, 2023, pp. 498-513. |
| APA | Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvaradocabrero I, Amgad M, Azmoudehardalan F, Badve S, Baharun NB, Balslev E, ... Specht Stovgaard E (2023). Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group. Journal of Pathology, 260(5), 498-513. |
| Chicago | Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, Gupta R, et al.. "Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group." Journal of Pathology 260, no. 5 (2023): 498-513. |
| Harvard | Thagaard J et al. (2023) 'Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group', Journal of Pathology, 260(5), pp. 498-513. |
| Vancouver | Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, et al.. Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group. Journal of Pathology. 2023;260(5):498-513. |
| BibTex | @article{ author = {Thagaard J and Broeckx G and Page DB and Jahangir CA and Verbandt S and Kos Z and Gupta R and Khiroya R and Abduljabbar K and Acosta Haab G and Acs B and Akturk G and Almeida JS and Alvaradocabrero I and Amgad M and Azmoudehardalan F and Badve S and Baharun NB and Balslev E and Bellolio ER and Bheemaraju V and Blenman KRM and Botinelly Mendonca Fujimoto L and Bouchmaa N and Burgues O and Chardas A and Chon U Cheang M and Ciompi F and Cooper LAD and Coosemans A and Corredor G and Dahl AB and Dantas Portela FL and Deman F and Demaria S and Dore Hansen J and Dudgeon SN and Ebstrup T and Elghazawy M and Fernandezmartin C and Fox SB and Gallagher WM and Giltnane JM and Gnjatic S and Gonzalezericsson PI and Grigoriadis A and Halama N and Hanna MG and Harbhajanka A and Hart SN and Hartman J and Hauberg S and Hewitt S and Hida AI and Horlings HM and Husain Z and Hytopoulos E and Irshad S and Janssen EAM and Kahila M and Kataoka TR and Kawaguchi K and Kharidehal D and Khramtsov AI and Kiraz U and Kirtani P and Kodach LL and Korski K and Kovacs A and Laenkholm AV and Langschwarz C and Larsimont D and Lennerz JK and Lerousseau M and Li X and Ly A and Madabhushi A and Maley SK and Manur Narasimhamurthy V and Marks DK and Mcdonald ES and Mehrotra R and Michiels S and Minhas FUAA and Mittal S and Moore DA and Mushtaq S and Nighat H and Papathomas T and Penaultllorca F and Perera RD and Pinard CJ and Pintocardenas JC and Pruneri G and Pusztai L and Rahman A and Rajpoot NM and Rapoport BL and Rau TT and Reisfilho JS and Ribeiro JM and Rimm D and Roslind A and Vincentsalomon A and Saltotellez M and Saltz J and Sayed S and Scott E and Siziopikou KP and Sotiriou C and Stenzinger A and Sughayer MA and Sur D and Fineberg S and Symmans F and Tanaka S and Taxter T and Tejpar S and Teuwen J and Thompson EA and Tramm T and Tran WT and Van Der Laak J and Van Diest PJ and Verghese GE and Viale G and Vieth M and Wahab N and Walter T and Waumans Y and Wen HY and Yang W and Yuan Y and Zin RM and Adams S and Bartlett J and Loibl S and Denkert C and Savas P and Loi S and Salgado R and Specht Stovgaard E}, title = {Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group}, journal = {Journal of Pathology}, volume = {260}, number = {5}, pages = {498-513}, year = {2023} } |
| RIS | TY - JOUR AU - Thagaard J AU - Broeckx G AU - Page DB AU - Jahangir CA AU - Verbandt S AU - Kos Z AU - Gupta R AU - Khiroya R AU - Abduljabbar K AU - Acosta Haab G AU - Acs B AU - Akturk G AU - Almeida JS AU - Alvaradocabrero I AU - Amgad M AU - Azmoudehardalan F AU - Badve S AU - Baharun NB AU - Balslev E AU - Bellolio ER AU - Bheemaraju V AU - Blenman KRM AU - Botinelly Mendonca Fujimoto L AU - Bouchmaa N AU - Burgues O AU - Chardas A AU - Chon U Cheang M AU - Ciompi F AU - Cooper LAD AU - Coosemans A AU - Corredor G AU - Dahl AB AU - Dantas Portela FL AU - Deman F AU - Demaria S AU - Dore Hansen J AU - Dudgeon SN AU - Ebstrup T AU - Elghazawy M AU - Fernandezmartin C AU - Fox SB AU - Gallagher WM AU - Giltnane JM AU - Gnjatic S AU - Gonzalezericsson PI AU - Grigoriadis A AU - Halama N AU - Hanna MG AU - Harbhajanka A AU - Hart SN AU - Hartman J AU - Hauberg S AU - Hewitt S AU - Hida AI AU - Horlings HM AU - Husain Z AU - Hytopoulos E AU - Irshad S AU - Janssen EAM AU - Kahila M AU - Kataoka TR AU - Kawaguchi K AU - Kharidehal D AU - Khramtsov AI AU - Kiraz U AU - Kirtani P AU - Kodach LL AU - Korski K AU - Kovacs A AU - Laenkholm AV AU - Langschwarz C AU - Larsimont D AU - Lennerz JK AU - Lerousseau M AU - Li X AU - Ly A AU - Madabhushi A AU - Maley SK AU - Manur Narasimhamurthy V AU - Marks DK AU - Mcdonald ES AU - Mehrotra R AU - Michiels S AU - Minhas FUAA AU - Mittal S AU - Moore DA AU - Mushtaq S AU - Nighat H AU - Papathomas T AU - Penaultllorca F AU - Perera RD AU - Pinard CJ AU - Pintocardenas JC AU - Pruneri G AU - Pusztai L AU - Rahman A AU - Rajpoot NM AU - Rapoport BL AU - Rau TT AU - Reisfilho JS AU - Ribeiro JM AU - Rimm D AU - Roslind A AU - Vincentsalomon A AU - Saltotellez M AU - Saltz J AU - Sayed S AU - Scott E AU - Siziopikou KP AU - Sotiriou C AU - Stenzinger A AU - Sughayer MA AU - Sur D AU - Fineberg S AU - Symmans F AU - Tanaka S AU - Taxter T AU - Tejpar S AU - Teuwen J AU - Thompson EA AU - Tramm T AU - Tran WT AU - Van Der Laak J AU - Van Diest PJ AU - Verghese GE AU - Viale G AU - Vieth M AU - Wahab N AU - Walter T AU - Waumans Y AU - Wen HY AU - Yang W AU - Yuan Y AU - Zin RM AU - Adams S AU - Bartlett J AU - Loibl S AU - Denkert C AU - Savas P AU - Loi S AU - Salgado R AU - Specht Stovgaard E TI - Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group JO - Journal of Pathology VL - 260 IS - 5 SP - 498 EP - 513 PY - 2023 ER - |