Learning to detect lymphocytes in immunohistochemistry with deep learning
2019 · Medical Image Analysis · 163 citations
https://doi.org/10.1016/j.media.2019.101547
Ż
Żaneta Świderska-Chadaj
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
50
Papers
947
Citations
15
h-index
19
i10-index
Żaneta Świderska-Chadaj is an academic researcher from Warsaw University of Technology. The author has contributed to research in topics: AI in cancer detection & Radiomics and Machine Learning in Medical Imaging & Cell Image Analysis Techniques. The author has an h-index of 15, co-authored 43 publications.
ORCID: 0000-0003-2115-9822Papers by this author
worksOptimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
2021 · The Breast · 35 citations
https://doi.org/10.1016/j.breast.2021.02.007
Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection
2016 · Diagnostic Pathology · 15 citations
https://doi.org/10.1186/s13000-016-0546-7
Localization of spleen and kidney organs from CT scans based on classification of slices in rotational views
2023 · Scientific Reports · 2 citations
https://doi.org/10.1038/s41598-023-32741-y
Additional file 1: of Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection
2016 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.c.3618392_d1
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat