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TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge

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arxiv 2206.11943 v1 pith:LM73LRAH submitted 2022-06-23 eess.IV cs.CV

Adam Shephard , Mostafa Jahanifar , Ruoyu Wang , Muhammad Dawood , Simon Graham , Kastytis Sidlauskas , Syed Ali Khurram , Nasir Rajpoot
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Shan E Ahmed Raza
This is my paper · ORCID
classification eess.IVcs.CV
keywords tilschallengescoreachievedbreastcancertigertumor
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 2 Pith papers

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