A study effect Histological changes

Noori Mohammed Luaibi; Amenah Hussein Mousa

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Publication Date

Tue Feb 09 2016

Journal Name

Advances In Environmental Biology

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A study effect Histological changes

thyme

histology

kidney

Noori Mohammed Luaibi

Amenah Hussein Mousa

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Publication Date

Tue Aug 31 2021

Journal Name

Al-kindy College Medical Journal

Assessment of the Effects of SARS-Cov-2 Infection on Multiple Organs Using Laboratory Indices

SARS-Cov-2

COVID-19

laboratory result

Liver

Heart

Kidney

Jianwei

Yu

Cui

Yizhao

Yao

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Background: Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) is still a severe threaft for human health currently, and the researches about it is a focus topic worldwide.

Aim of the study: In this study, we will collect some laboratory results of the patients with coronavirus disease (COVID-19) to assess the function of liver, heart, kidney and even pancreas.

Subjects and Methods: Laboratory results of the patients with COVID-19 are collected. The biochemical indices are classified and used to assess the according function of liver, heart, kidney; meantime, and blood glucose is also observed and taken as an index to roughly evaluate pancreas.

Results: There were some in

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(1)

Publication Date

Tue Sep 11 2018

Journal Name

Iraqi Journal Of Physics

Estimation of kidney tumor volume in CT images using medical image segmentation techniques

Image segmentation

CT image

Fuzzy C-Means (FCM)

kidney tumor volume.

Faleh H.

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Kidney tumors are of different types having different characteristics and also remain challenging in the field of biomedicine. It becomes very important to detect the tumor and classify it at the early stage so that appropriate treatment can be planned. Accurate estimation of kidney tumor volume is essential for clinical diagnoses and therapeutic decisions related to renal diseases. The main objective of this research is to use the Computer-Aided Diagnosis (CAD) algorithms to help the early detection of kidney tumors that addresses the challenges of accurate kidney tumor volume estimation caused by extensive variations in kidney shape, size and orientation across subjects.
In this paper, have tried to implement an automated segmentati

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