English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The paper describes the key component of the Multimodal Cell Analysis approach, a novel cytologic evaluation method for early cancer detection. The approach is based on a repeated staining of a cell smear. The correlation of features and data extracted from different stainings, and related to relocated individual cells, will yield a dramatic increase of diagnostic reliability. The necessary fully automatic preprocessing steps are presented: coregistration of multimodal images, segmentation, and classification of cell nuclei. Both efficiency and robustness of all steps reached at the current stage of research, are high regarding medical image material, and strongly support clinical application.

Automatic Coregistration, Segmentation and Classification for Multimodal Cytopathology