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Akademický článek

Using fused Contourlet transform and neural features to spot COVID19 infections in CT scan images

Autor: Nur A-Alam, Md. Saikat Islam Khan, Mostofa Kamal Nasir

Publikováno v: Intelligent Systems with Applications, Vol 17, Iss , Pp 200182- (2023)

The World Health Organization (WHO) claims that COVID19 is the pandemic disease of the 22nd century. The COVID19 disease is caused by a strain of coronavirus that led to the infection and death of millions of people and continues to do so unless we f

Externí odkaz: https://doaj.org/article/1addfe4c7dfc408e819086b93269da32

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Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture

Autor: Ahmed, Zarif, Siddiqi, Chowdhury Nur E Alam, Alam, Fardifa Fathmiul, Ahmed, Tasnim, Chowdhury, Tareque Mohmud

Nuclei instance segmentation is crucial in oncological diagnosis and cancer pathology research. H&E stained images are commonly used for medical diagnosis, but pre-processing is necessary before using them for image processing tasks. Two principal pr

Externí odkaz: http://arxiv.org/abs/2404.12986