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Your search keyword '"Pathologie Support"' showing total 29 results

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29 results on '"Pathologie Support"'

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1. Author Correction: A comprehensive multi-domain dataset for mitotic figure detection (Scientific Data, (2023), 10, 1, (484), 10.1038/s41597-023-02327-4)

2. The difficulty with measuring the largest melanoma tumour diameter in sentinel lymph nodes

3. Author Correction: Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial (Nature Cancer, (2024), 5, 8, (1195-1205), 10.1038/s43018-024-00788-z)

4. Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial

5. Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge

6. Prognostic value of histopathologic traits independent of stromal tumor-infiltrating lymphocyte levels in chemotherapy-naïve patients with triple-negative breast cancer

7. Pros and cons of artificial intelligence implementation in diagnostic pathology

8. Mitosis domain generalization in histopathology images - The MIDOG challenge

9. External validation and clinical utility assessment of PREDICT breast cancer prognostic model in young, systemic treatment-naïve women with node-negative breast cancer

10. A comprehensive multi-domain dataset for mitotic figure detection

11. CONFIDENT-trial protocol: A pragmatic template for clinical implementation of artificial intelligence assistance in pathology

12. Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

13. Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

14. Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective

15. Prognostic Value of Stromal Tumor-Infiltrating Lymphocytes in Young, Node-Negative, Triple-Negative Breast Cancer Patients Who Did Not Receive (neo)Adjuvant Systemic Therapy

16. Validation of digital microscopy: Review of validation methods and sources of bias

17. BRCA1 promoter methylation confers a more favorable prognosis to systemically untreated young triple-negative breast cancer patients than tumour BRCA1 mutation

18. Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

19. Acardius anceps with neck cyst and cleft palate: Three dimensional skeletal computed tomography reconstruction with discussion of the literature

21. Direct comparison of [C-11] choline and [F-18] FET PET to detect glioma infiltration: a diagnostic accuracy study in eight patients: a diagnostic accuracy study in eight patients

22. Refining the spectrum of neuronal intranuclear inclusion disease: A case report

23. EIF2AK3 variants in Dutch patients with Alzheimer's disease

25. Normal Aging Brain Collection Amsterdam (NABCA): A comprehensive collection of postmortem high-field imaging, neuropathological and morphometric datasets of non-neurological controls

26. Phosphorylated TDP-43 Staging of Primary Age-Related Tauopathy

27. Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue

28. Being fully digital: perspective of a Dutch academic pathology laboratory

29. Long-term prognosis of young breast cancer patients (≤40 years) who did not receive adjuvant systemic treatment: protocol for the PARADIGM initiative cohort study

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