The site of the Media Sphera Publishers contains materials intended solely for healthcare professionals.
By closing this message, you confirm that you are a certified medical professional or a student of a medical educational institution.

Mikhailov I.A.

Lomonosov Moscow State University

Khvostikov A.V.

Lomonosov Moscow State University

Krylov A.S.

Lomonosov Moscow State University

Methodical approaches to annotation and labeling of histological images in order to automatically detect the layers of the stomach wall and the depth of invasion of gastric cancer

Authors:

Mikhailov I.A., Khvostikov A.V., Krylov A.S.

More about the authors

Views: 1486

Downloaded: 101


To cite this article:

Mikhailov IA, Khvostikov AV, Krylov AS. Methodical approaches to annotation and labeling of histological images in order to automatically detect the layers of the stomach wall and the depth of invasion of gastric cancer. Russian Journal of Archive of Pathology. 2022;84(6):67‑73. (In Russ.)
https://doi.org/10.17116/patol20228406167

Recommended articles:
Asse­ssment of HER2 status of carcinomas of various loca­lizations. Russian Journal of Archive of Pathology. 2023;(6):31-46
Arti­ficial inte­lligence in pathological anatomy. Russian Journal of Archive of Pathology. 2024;(2):65-71
Complicated gastric cancer and modern treatment approaches. Piro­gov Russian Journal of Surgery. 2024;(4):125-140
Morphological and mole­cular gene­tic features of gastric cancer. P.A. Herzen Journal of Onco­logy. 2024;(3):79-84
The impact of endo­scopy in upper gastrointestinal tract cancer screening programs. Russian Journal of Evidence-Based Gastroenterology. 2024;(2):79-88

Email Confirmation

An email was sent to test@gmail.com with a confirmation link. Follow the link from the letter to complete the registration on the site.

Email Confirmation



We use cооkies to improve the performance of the site. By staying on our site, you agree to the terms of use of cооkies. To view our Privacy and Cookie Policy, please. click here.