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      • Aust 2010 — Serrated Polyp Diagnostic Criteria (German consensus)
      • Bareja 2026 — A Benchmark Study of Vision and Pathology Foundation Models
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      • Çakı 2026 — Topology-Guided Hard Example Mining (TG-HEM)
      • Chauveau 2025 — Converting WSI from DICOM to SVS-like TIFF
      • Clarke & Treanor 2017 — Colour in Digital Pathology: A Review
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      • Lerousseau 2020 — MIL Tumor Segmentation (percentile pseudo-labels)
      • Rakha 2026 — Histological Grading of Invasive Breast Carcinoma in the Digital Era
      • Shaaban 2026 — UK Recommendations for Ki-67 Immunohistochemical Staining and Interpretation in Breast Cancer
      • Siebers 2026 — The Dutch Nationwide Pathology Databank (Palga)
      • Studer 2023 — Tumor Budding T-cell Graphs (pT1 CRC resection risk)
      • Tresserra 2026 — Technical Workload Unit (SEAP pilot)
      • Long-term cancer survival prediction using multimodal deep learning
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      • Wang 2026 — Pathology-CoT and the Pathology-o3 Agent
      • Zabihollahy 2026 — CurvReg (multi-stain liver biopsy registration)

On this page

  • What this is
  • Companion content
  • Typical content
  • Contribution flow
  • Conventions
  • Pitfalls
  • In the research wiki
  1. Patoloji Notları
  2. Patoloji Notları

Patoloji Notları

The group’s Turkish-language pathology notes — practical write-ups, reference material, and routine-practice lessons

← Home · Onboarding

What this is

Patoloji Notları is the place for Turkish-language practical write-ups that don’t fit the teaching-case format of the Atlas or the essay format of Patoloji ve Bilişim. Think: reference notes, sign-out pearls, organ-specific checklists, and lessons learned.

Companion content

  • Patoloji Atlası — teaching cases with images.
  • Patoloji ve Bilişim — informatics essays.
  • patoloji-hakkinda — broader pathology explainers.
  • rutinde-dijital-patoloji — digital pathology in routine practice.

Typical content

  • Organ-specific sign-out checklists distilled from routine experience.
  • Grossing notes for unusual specimens.
  • IHC interpretation pearls tied to specific tumor types.
  • Reporting-language examples with annotated explanations.
  • Lessons learned from amended reports or consultation discrepancies.

Contribution flow

  1. Pick one concrete question or lesson — the page should have a clear “what you will know after reading this.”
  2. Draft in Turkish. English gloss optional.
  3. Reference the primary source when applicable (protocol, paper, SOP) rather than reproducing it.
  4. Second-reader review before merge.

Conventions

  • No PHI. Anonymize every example — pseudonyms, shifted dates, redacted accession numbers.
  • Short is good. Notes that fit on one screen get read; multi-page essays belong in Patoloji ve Bilişim.
  • Link out; don’t duplicate. If the topic already lives elsewhere, link to it.
  • Keep edition and source. Reference the WHO/AJCC edition and publication year for any criterion quoted — editions change.

Pitfalls

  • Notes go stale when protocols change. Date each note; review annually.
  • Anecdote is fine; generalization from a single case is not. Mark isolated observations as such.
  • Sign-out language examples are sensitive — prefer synthesized examples over verbatim copies.

In the research wiki

  • ParaPathology — the sibling collection, and the largest untapped source in this wiki: roughly a hundred of its files sit in statistics, bioinformatics and computational pathology and nothing here cites them yet.
  • Synoptic Reporting — structured reporting, which is where practical note-writing and machine-readable output meet.
  • Descriptive Tables — the statistical habit most worth writing down once and reusing.
  • Turnaround Time — routine-practice lessons that have an operational measurement behind them.

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