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Detection and Classification of Cells in Colorectal Histology Images Utilizing U-Net Machine Learning Architecture
2/2 checkable references clean · checked 2026-08-27
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The 2 checked references that resolve
resolves10.1016/0014-4827(86)90429-5
Cell type heterogeneity of cytokeratin expression in complex epithelia and carcinomas as demonstrated by monoclonal antibodies specific for cytokeratins nos. 4 and 13
resolves10.1109/ICARCV.2018.8581147
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
The 5 references without a DOI — listed, not checked
no DOI — not checkedMulti-field-of-view strategy for image-based outcome prediction of multiparametric estrogen receptor-positive breast cancer histopathology: comparison to oncotype dx
no DOI — not checkedref2
no DOI — not checkedLocality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
no DOI — not checkedref4
no DOI — not checkedNucleus Segmentation Using U-Net
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