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

Histopathology is the examination of changes on organs, tissues and cells on a microscope. Tissues to be examined are cut by micro-cutters in a suitable thickness for examination. Some painting techniques are applied to the cut tissues. The Hematoxylin-Eosin (HE 1) Before training the image data, it is pre-processed with the CLAHE algorithm to obtain better quality images; 2) The pre-processed image data using the CLAHE algorithm is trained with the relevant deep learning architecture; 3) The trained model is verified on test images using criteria such as global accuracy and average IoU. For experimental analysis, MoNuSeg data set containing histopathology images of more than one organ is used. According to the results, DeepLabV3+ architecture completes its operation in a much shorter time than other architectures and achieves a noticeably better performance than the rest of the architectures.

Histopatoloji Görüntülerde Derin Öğrenme Yöntemleri ile Çekirdek Segmentasyonu