Aviso: Este site agrega dados públicos oficiais da FDA, ClinicalTrials.gov, PubMed e SEC EDGAR apenas para referência geral. Não constitui aconselhamento médico, diagnóstico, recomendação de tratamento ou aconselhamento de investimento.

PubMed

Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology.

PMID: 33371797 ·

A, l, e, k, s, a, n, d, r, a, , Z, u, r, a, w, ;, , M, i, c, h, a, e, l, , S, t, a, u, p, ;, , R, o, b, e, r, t, , K, l, o, p, f, l, e, i, s, c, h, ;, , F, a, m, k, e, , A, e, f, f, n, e, r, ;, , D, a, n, i, e, l, l, e, , B, r, o, w, n, ;, , T, h, o, m, a, s, , W, e, s, t, e, r, l, i, n, g, -, B, u, i, ;, , D, a, n, i, e, l, , R, u, d, m, a, n, n

RevistaToxicologic pathology
Ano
PMID33371797

Resumo

Digital tissue image analysis is a computational method for analyzing whole-slide images and extracting large, complex, and quantitative data sets. However, as with any analysis method, the quality of generated results is dependent on a well-designed quality control system for the entire digital pathology workflow. Such system requires clear procedural controls, appropriate user training, and involvement of specialists to oversee key steps of the workflow. The toxicologic pathologist is responsi

Fonte oficial

Ver no PubMed →

Dados provenientes do PubMed / NCBI. Para consultar o texto integral e as informações mais recentes, recorra sempre ao registo oficial.

↑