Electrical Engineering and Systems Science > Image and Video Processing
arXiv:2206.11943 (eess)
[Submitted on 23 Jun 2022]
Title:TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge
Authors:Adam Shephard,Mostafa Jahanifar,Ruoyu Wang,Muhammad Dawood,Simon Graham,Kastytis Sidlauskas,Syed Ali Khurram,Nasir Rajpoot,Shan E Ahmed Raza
View a PDF of the paper titled TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge, by Adam Shephard and 8 other authors
View PDFAbstract:The quantification of tumor-infiltrating lymphocytes (TILs) has been shown to be an independent predictor for prognosis of breast cancer patients. Typically, pathologists give an estimate of the proportion of the stromal region that contains TILs to obtain a TILs score. The Tumor InfiltratinG lymphocytes in breast cancER (TiGER) challenge, aims to assess the prognostic significance of computer-generated TILs scores for predicting survival as part of a Cox proportional hazards model. For this challenge, as the TIAger team, we have developed an algorithm to first segment tumor vs. stroma, before localising the tumor bulk region for TILs detection. Finally, we use these outputs to generate a TILs score for each case. On preliminary testing, our approach achieved a tumor-stroma weighted Dice score of 0.791 and a FROC score of 0.572 for lymphocytic detection. For predicting survival, our model achieved a C-index of 0.719. These results achieved first place across the preliminary testing leaderboards of the TiGER challenge.
| Comments: | TiGER Challenge entry |
| Subjects: | Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2206.11943 [eess.IV] |
| (orarXiv:2206.11943v1 [eess.IV] for this version) | |
| https://doi.org/10.48550/arXiv.2206.11943 arXiv-issued DOI via DataCite |
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View a PDF of the paper titled TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge, by Adam Shephard and 8 other authors
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