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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Lung diseases are a leading cause of child mortality in the developing world,with India accounting for approximately half of global pneumonia deaths(370,000) in 2016. Timely diagnosis is crucial for reducing mortality rates.This paper introduces a low-density neural network structure to mitigatetopological challenges in deep networks. The network incorporates parametersinto a feature pyramid, enhancing data extraction and minimizing informationloss. Soft Non-Maximal Suppression optimizes regional proposals generated bythe Region Proposal Network. The study evaluates the model on chest X-rayimages, computing a confusion matrix to determine accuracy, precision,sensitivity, and specificity. We analyze loss functions, highlighting theirtrends during training. The regional proposal loss and classification lossassess model performance during training and classification phases. This paperanalysis lung disease detection and neural network structures.

Lung Diseases Image Segmentation using Faster R-CNNs