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1. Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis

2. Short colon syndrome in cats

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4. Flowcytometric data of intermediate-large cell gastrointestinal lymphoma presenting a gross mass in 32 cats – 'let them glow in the flow'

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

6. Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility

7. Atypical Mitotic Figures Are Prognostically Meaningful for Canine Cutaneous Mast Cell Tumors

8. New Hosts for Equine Herpesvirus 9

12. When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology.

13. On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images.

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

16. Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge.

18. Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors.

20. Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment.

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

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

28. How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment.

31. Disseminated coelomic xanthogranulomatosis in eclectus parrots (Eclectus roratus) and budgerigars (Melopsittacus undulatus)

32. Doublecortin immunolabeling in canine gliomas with distinct degrees of tumor infiltration

33. Chaphamaparvovirus antigen and nucleic acids are not detected in kidney tissues from cats with chronic renal disease or immunocompromised cats

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

35. Mitotic Figures—Normal, Atypical, and Imposters: A Guide to Identification

36. Disseminated pancreatic adenocarcinoma in an eclectus parrot (Eclectus roratus)

37. Radiographic features of subungual keratoacanthomas in dogs

38. Reporting guidelines for manuscripts on tumor prognosis

39. Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy

40. Disseminated coelomic xanthogranulomatosis in eclectus parrots (

41. Canine Ependymoma: Diagnostic Criteria and Common Pitfalls

42. Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment

43. International Guidelines for Veterinary Tumor Pathology: A Call to Action

44. Feline Pituitary Adenomas: Correlation of Histologic and Immunohistochemical Characteristics With Clinical Findings and Case Outcome

45. Disseminated pancreatic adenocarcinoma in an eclectus parrot (

46. A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research

47. Laparoscopic Resection of a Pancreatic β Cell Tumor in a Dog

48. Splenomegaly in small‐breed dogs: 45 cases(2005–2011)

49. Use of Standing Computed Tomography for the Diagnosis of a Primary Respiratory Adenocarcinoma in a Scarlet Macaw ( Ara macao )

50. Imaging features of disseminated xanthogranulomatous inflammation in eclectus parrots (Eclectus roratus)