Work

Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer

Year: 2017

Type: article

Study design: Observational Study

Source: Pathology & Oncology Research

DOI: 10.1007/s12253-017-0220-8

Authors: Balázs Ács, Lilla Madaras, Kristóf Attila Kovács, Tamás Micsik, Anna-Mária Tőkés, Balázs Győrffy, Janina Kulka, Attila Marcell Szász

Institutions: Semmelweis University, Hungarian Academy of Sciences, HUN-REN Research Centre for Natural Sciences

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2605488055

FWCI: 0.976

Cites: 30

Cited by: 26

Related to: 10