Identifying Helicobacter pylori (H. Pylori) on single auto-focus Haemotoxylin and Eosin (H&E) + Giemsa stained whole-slide images (WSI) using digital pathology software is a challenging, costly, and labor-intensive task. Pathology experts often need to analyze whole H&E slides in detail, which is expensive in terms of time, resources, and the diagnosis assessment may differ among experts. To alleviate these issues, we present the development and evaluation of a Computer-aided diagnosis (CAD) pipeline supported by a Deep Learning (DL) algorithm
Application can be launched from Sectra's pathology image window: Yes
Results will be shown in Sectra's pathology image window: Yes
Ask your Sectra representative which version of the Sectra PACS is compatible with the highlighted integration standards.
Contact usAre you interested in learning more? Please do not hesitate to get in touch with us at Sectra.
The application content is provided by the respective AI vendors.
