DevScope Stomach H. Pylori

Research only | H. pylori | Amplifier Integrator | H&E

Description of use

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

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