Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review
2021 · European Journal of Cancer · 177 citations
https://doi.org/10.1016/j.ejca.2021.07.012
E
Eva Krieghoff‐Henning
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Eva Krieghoff‐Henning is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: AI in cancer detection & Cutaneous Melanoma Detection and Management & Cell Image Analysis Techniques. The author has an h-index of 26, co-authored 60 publications.
ORCID: 0000-0001-8381-3100Papers by this author
worksCombining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification
2021 · European Journal of Cancer · 105 citations
https://doi.org/10.1016/j.ejca.2021.02.032
HIPK2 restricts SIRT1 activity upon severe DNA damage by a phosphorylation-controlled mechanism
2015 · Cell Death and Differentiation · 72 citations
https://doi.org/10.1038/cdd.2015.75
Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists
2021 · Journal of the American Academy of Dermatology · 64 citations
https://doi.org/10.1016/j.jaad.2021.02.009
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours
2021 · European Journal of Cancer · 63 citations
https://doi.org/10.1016/j.ejca.2021.05.026
Robustness of convolutional neural networks in recognition of pigmented skin lesions
2021 · European Journal of Cancer · 58 citations
https://doi.org/10.1016/j.ejca.2020.11.020
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