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Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects
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Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.3390/jimaging12070316openalex-snapshot
NS-GUSL: Green U-Shaped Learning for Nuclei Segmentation from Histopathology Images
inferred← citeshttps://doi.org/10.34133/research.0568openalex-snapshot
Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis
inferred← citeshttps://doi.org/10.36227/techrxiv.170775482.23404242/v1openalex-snapshot
SegRep: Mask-Based Self-Supervised Learning for Segment Representation in Pathology Images
inferred← citeshttps://doi.org/10.36548/jiip.2026.4.002openalex-snapshot
Attentive Dual-Branch CNN–Transformer Fusion for Cross-Dataset Breast Histopathology Classification
inferred← citeshttps://doi.org/10.37868/bes.v5i1.id269openalex-snapshot
Application of AI in detection of breast cancer with laboratory results monitoring
inferred← citeshttps://doi.org/10.4018/979-8-2600-1358-8.ch008openalex-snapshot
Biotechnology-Enabled Artificial Intelligence for Veterinary Histopathology and Disease Detection
inferred← citeshttps://doi.org/10.47820/recima21.v7i7.8430openalex-snapshot
ADVANCES IN CANCER DIAGNOSIS: DIGITAL PATHOLOGY, BIOTECHNOLOGY, AND OMICS TECHNOLOGIES WITH AN EMPHASIS ON GLIOBLASTOMA
inferred← citeshttps://doi.org/10.47852/bonviewmedin42022204openalex-snapshot
Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review
inferred← citeshttps://doi.org/10.5114/pjp.2026.162578openalex-snapshot
The role of computational pathology in predicting expression of selected immunohistochemical markers
inferred← citeshttps://doi.org/10.6084/m9.figshare.25678609openalex-snapshot
Additional file 1 of Identification of BGN positive fibroblasts as a driving factor for colorectal cancer and development of its related prognostic model combined with machine learning
inferred← citeshttps://doi.org/10.6084/m9.figshare.25678739openalex-snapshot
Additional file 2 of Identification of BGN positive fibroblasts as a driving factor for colorectal cancer and development of its related prognostic model combined with machine learning
inferred← citeshttps://doi.org/10.64898/2026.06.04.730099openalex-snapshot
Intra-slide calibration technology improves immunohistochemical harmonization within and between anatomic pathology laboratories
inferred← citeshttps://doi.org/10.70675/b672dc67zccbcz48ffz84a1z2c224407c9a1openalex-snapshot
Nouvelles approches de machine learning pour l'analyse de données en pathologie numérique : application aux lymphomes primitifs du système nerveux central et extension à d'autres pathologies tumorales
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