2020
DOI: 10.1007/978-3-030-58526-6_27
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On Transferability of Histological Tissue Labels in Computational Pathology

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Cited by 8 publications
(4 citation statements)
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“…That is, practitioners need to be able to rely on a model's predictions throughout its life cycle. This does not only imply a good in-distribution generalization performance on data from the same patient cohort but also transferability to other cohorts that may exhibit some degree of distribution shift [84] as well as robustness to erroneous inputs. Importantly, for tools to be applied in a clinical setting, they must be able to reliably estimate their uncertainty and communicate to a practitioner when they “don't know” [85] .…”
Section: Discussionmentioning
confidence: 95%
“…That is, practitioners need to be able to rely on a model's predictions throughout its life cycle. This does not only imply a good in-distribution generalization performance on data from the same patient cohort but also transferability to other cohorts that may exhibit some degree of distribution shift [84] as well as robustness to erroneous inputs. Importantly, for tools to be applied in a clinical setting, they must be able to reliably estimate their uncertainty and communicate to a practitioner when they “don't know” [85] .…”
Section: Discussionmentioning
confidence: 95%
“…However, if it is necessary to identify the particular stage of progression of a disease type, then a more granular approach in assigning some anomaly score may be more appropriate as explored in a previous work. 503 This work found that the confidence score in tissue classification was inversely correlated with disease progression, thus the confidence score may act as a proxy for an anomaly score. Theoretically, such approaches may better replicate the behaviour of pathologists.…”
Section: Existing Challenges and Future Opportunitiesmentioning
confidence: 88%
“…Precise cell‐level or region‐level annotations are crucial for training and evaluation in many supervised learning tasks in CPath [ 54 ]. However, acquiring such annotations can be expensive, tedious, and time‐consuming.…”
Section: Limitations Challenges and Recommendationsmentioning
confidence: 99%