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Automatic Segmentation and Identification of Abnormal Breast Region in Mammogram Images Based on Statistical Features
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Breast cancer is one of the most common malignant diseases among women;
Mammography is at present one of the available method for early detection of
abnormalities which is related to breast cancer. There are different lesions that are
breast cancer characteristic such as masses and calcifications which can be detected
trough this technique. This paper proposes a computer aided diagnostic system for
the extraction of features like masses and calcifications lesions in mammograms for
early detection of breast cancer. The proposed technique is based on a two-step
procedure: (a) unsupervised segmentation method includes two stages performed
using the minimum distance (MD) criterion, (b) feature extraction based on Gray
level Co-occurrence matrices GLCM for the identification of masses and
calcifications lesions. The method suggested for the detection of abnormal lesions
from mammogram image segmentation and analysis was tested over several images
taken from National Center for Early Detection of cancer in Baghdad.

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Publication Date
Wed Nov 28 2018
Journal Name
Iraqi Journal Of Science
Molecular detection of Chlamydia trachomatis infection among males with abnormal semen
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Many studies revealed that Chlamydia trachomatis is the most prevalent bacteria “that cause sexually transmitted infections in the world.. Most of these infections are asymptomatic and there is a remarkable relationship between CT infections and male infertility. Therefore, “the present study is established to determine the effect of Chlamydia trachomatis infection on seminal fluid quality in males suffering from infertility compared with fertile males.. “Semen samples were collected from 63 infertile male and 13 fertile male as control group, attending the clinical laboratory for routine seminal fluid analysis. Seminal fluid was analyzed according to World Health Organization guidelines, the whole geno

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Publication Date
Sun Dec 29 2024
Journal Name
Iraqi Journal Of Biotechnology
STUDY ON TOTAL PEROXIDASE ENZYMES ACTIVITIES AND SOME TRACE ELEMENTS IN PATIENTS WITH BREAST TUMORS
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Publication Date
Fri Dec 08 2023
Journal Name
Iraqi Journal Of Science
Immunohistochemical Expression of Bcl3 in Human Breast Carcinoma
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B-Cell lymphoma 3 is a putative proto-oncogene that involved in central oncogenic pathways that regulate cell death, apoptosis and metastatic of tumor cells so it could be important as a target to validation as a diagnostic or prognostic marker in these tumors. This study revealed positive expression of Bcl3 in (76.6%) of 47 cases infiltrating ductal carcinoma and (61.7%) of positive were strong positive. These results showed no significant association of immunohistochemical expression of Bcl3 with clinicopathological features as well no relation with immunohistochemical expressions of estrogen rreceptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2/neu).

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Publication Date
Sun Jun 20 2021
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
ON THE ECOLOGY AND SPECIES DIVERSITY OF THE FRESHWATER GASTROPODS OF SPRINGS IN ANDIJAN REGION, UZBEKISTAN
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This study examines the species composition, biodiversity, zoogeography, and ecology of freshwater gastropods of 12 springs in Andijan region of Uzbekistan. The study used generally accepted malacological, faunistic, ecological, analytical, and statistical methods. As a result of research in the springs, 14 species of freshwater gastropods belonging to 2 subclasses, 5 families, and 10 genera were recorded. 7 of them are endemic to Central Asia. When indicators of biodiversity of mollusks were analyzed according to the Shannon index, it was found that the highest value was recorded in the springs besides the hills. According to the biotope of distribution and bioecological features, they were divided into cryophilic, phytophilic, pelophil

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Scopus (9)
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Publication Date
Fri Jan 01 2021
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
BotDetectorFW: an optimized botnet detection framework based on five features-distance measures supported by comparisons of four machine learning classifiers using CICIDS2017 dataset
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<p><span>A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the detection of Botnet attack using CICIDS2017 dataset. It is a free online dataset consist of several attacks with high-dimensions features. The process of feature selection is a significant step to obtain the least features by eliminating irrelated features and consequently reduces the detection time. This process implemented inside BotDetectorFW using two steps; data clustering and five distance measure formulas (cosine, dice, driver &amp; kroeber, overlap, and pearson correlation

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Publication Date
Sun Apr 04 2010
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Iraqi Breast Cancer: A Review on Patients' Demographic Characteristics and Clinico-Pathological Presentation.
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Background: Breast Cancer is the commonest type of malignancy in Iraq. The Iraqi Cancer Registry displays an obvious trend for the disease to affect younger women with advanced stages at the time of presentation. This report presents a review on the main demographic characteristics and clinicopathological parameters in Iraqi patients diagnosed with breast cancer.
Patients & Methods: The study was carried out on 721 out of a total of 5044 patients (14.3%) who complained of palpable breast lumps that were diagnosed as cancer. The procedure for tumor nuclear DNA Ploidy assessment was performed by means of Image Cytometry. Immuno-cytochemical and  histochemical assays were applied for the determination of

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Publication Date
Sun Dec 29 2024
Journal Name
Iraqi Journal Of Community Medicine
Awareness and Expectation of Breast Reconstruction Surgery among Female with Breast Cancer in Baghdad Governorate 2022
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Abstract Background:Breast cancer is the most common female cancer worldwide. Although mastectomy is considered the treatment of choice for the majority of cases of breast cancer; a noticeable percentage of breast cancer survivors claim they were never advised about reconstruction. It has been proven that breast reconstruction helps breast cancer survivors to overcome the trauma of their diagnosis and improve their psychological well-being.Objectives: To assess the level of awareness and expectations regarding breast reconstruction surgery among female with breast cancer survivors in Baghdad, and to find if there is association between sociodemographic data and expectations of breast reconstruction.Methodology: This is a cross sectional stu

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Publication Date
Mon Jun 30 2014
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Using Sonic Log to Predict Abnormal Pressure Zones in Selected Oil Wells (Western of Iraq)
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Two oil wells were tested to find the abnormal pressure zones using sonic log technique. We found that well Abu-Jir-3 and Abu-Jir-5 had an abnormal pressure zones from depth 4340 to 4520 feet and 4200 to 4600 feet, respectively. The maximum difference between obtained results and the field measured results did not exceed 2.4%.
In this paper, the formation pressures were expressed in terms of pressure gradient which sometimes reached up to twice the normal pressure gradient.
Drilling and developing such formations were dangerous and expensive.
The plotted figures showed a clear derivation from the normal trend which confirmed the existence of abnormal pressure zones.

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Publication Date
Thu Dec 30 2021
Journal Name
Iraqi Journal Of Science
Automatic Object Detection, Labelling, and Localization by Cameraโ€™s Drone System
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This work explores the designing a system of an automated unmanned aerial vehicles (UAV( for objects detection, labelling, and localization using deep learning. This system takes pictures with a low-cost camera and uses a GPS unit to specify the positions. The data is sent to the base station via Wi-Fi connection.

The proposed system consists of four main parts. First, the drone, which was assembled and installed, while a Raspberry Pi4 was added and the flight path was controlled. Second, various programs that were installed and downloaded to define the parts of the drone and its preparation for flight. In addition, this part included programs for both Raspberry Pi4 and servo, along with protocols for communication, video transmi

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Publication Date
Sat Jan 01 2022
Journal Name
1st Samarra International Conference For Pure And Applied Sciences (sicps2021): Sicps2021
Circularity segmentation for the groups ๐’ซ๐’ฎ๐“›(2,23) and ๐’ซ๐’ฎ๐“›(2,29)
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