Recognition of rare antinuclear antibody patterns based on a novel attention-based enhancement framework.

ABSTRACT: Rare antinuclear antibody (ANA) pattern recognition has been a widely applied technology for routine ANA screening in clinical laboratories. In recent years, the application of deep learning methods in recognizing ANA patterns has witnessed remarkable advancements. However, the majority of studies in this field have primarily focused on the classification of the most common ANA patterns, while another subset has concentrated on the detection of mitotic metaphase cells. To date, no prior research has been specifically dedicated to the identification of rare ANA patterns. In the present paper, we introduce a novel attention-based enhancement framework, which was designed for the recognition of rare ANA patterns in ANA-indirect immunofluorescence images. More specifically, we selected the alg

SUBMITTER: Zeng J 

PROVIDER: S-EPMC10818137 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature