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Automated Surface Defect Detection using Area Scan Camera

Publication Date
Fri Apr 30 2021
Journal Name
Al-kindy College Medical Journal
The Role of MRI-US Fusion Techniques in Detection of Clinically Significant Prostate Cancer

Prostate cancer is the commonest male cancer and the second leading cause of cancer-related death in men. Over many decades, prostate cancer detection represented a continuous challenge to urologists. Although all urologists and pathologists agree that tissue diagnosis is essential especially before commencing active surgical or radiation treatment, the best way to obtain the biopsy was always the big hurdle. The heterogenicity of the tumor pathology is very well seen in its radiological appearance. Ultrasound has been proven to be of limited sensitivity and specificity in detecting prostate cancer. However, it was the only available targeting technique for years and was used to guide biopsy needle passed transrectally or transperineally

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Publication Date
Thu Feb 09 2023
Journal Name
Artificial Intelligence Review
Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm

Finding communities of connected individuals in complex networks is challenging, yet crucial for understanding different real-world societies and their interactions. Recently attention has turned to discover the dynamics of such communities. However, detecting accurate community structures that evolve over time adds additional challenges. Almost all the state-of-the-art algorithms are designed based on seemingly the same principle while treating the problem as a coupled optimization model to simultaneously identify community structures and their evolution over time. Unlike all these studies, the current work aims to individually consider this three measures, i.e. intra-community score, inter-community score, and evolution of community over

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Publication Date
Tue Jan 01 2013
Journal Name
Baghdad Science Journal
Detection of Type 2 Diabetes Mellitus in Serum from Women with Polycystic Ovarian Syndrome

Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorder. To determine the metabolic disorders in women with PCOS, (25) women with PCOS ages (15 - 47) years have been investigated and compared with (20) healthy individuals. All the studied groups were carried out to measure fasting blood sugar, (anti-GAD Ab, anti β-islet cell Ab by IFAT) and measured insulin level by ELISA. There was significant elevation in the concentration of fasting blood sugar than in control groups (p ≤ 0.05) and there was negative results for anti-GAD Ab and anti β-islet cell Ab by IFAT test for serum of women with PCOS, while there was significant differences in the insulin level for women with PCOS compared with control groups (p ≤ 0.05),

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Publication Date
Mon Oct 01 2007
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Significance Of Cervical Cytology Screening (Pap Smear) In The Detection Of Precancerous Cervical Lesions

Summary:
Background: The incidence of cancer of the cervix is comparatively low in Iraq, as in most other Islamic countries. Pre invasive lesions of the uterine cervix can be detected by Pap smears in their preclinical course, a fact which documents the significant role of cervical cytology in gynecological practice.
Objective: To emphasize the role of cervical cytopathology (Pap smears) in the detection and follow up of various cervical lesions that may predispose to cervical carcinoma with special emphasis on Cervical Intraepithelial Neoplastic (CIN) conditions or dysplasias.
Patients and Methods: This retrospective study M’as performed on 1500 women aged 20 years and above who attended the private clinical laboratory of th

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Publication Date
Wed Aug 31 2022
Journal Name
Iraqi Journal Of Science
Detection of TNF Alpha Level as Biomarker in Different Stages of Cutaneous Leishmaniasis Infection

       Leishmaniasis is a global illness that is endemic in many countries, including Iraq. The characteristic of cutaneous leishmaniasis (CL) is the development of skin ulcers that are controlled by the immune system. Tumor necrosis factor-alpha (TNF-α), a cytokine generated by the innate immune response to CL infection, can influence disease clearance in the human host. The effect of this pro-inflammatory cytokine in CL ulcer development during the infection is not well established. In this study TNF-α level was detected in the patients who suffered from cutaneous leishmaniasis. This level was also assessed in the newly diagnosed patients and others who were undergoing different stages of pentostam treatment. Notably the result

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Publication Date
Wed Apr 01 2015
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Detection of Salmonella In Some Red and White Frozen Meat Obtained From Local Market.

Background: Salmonella spp. are one of the most frequently reported causes of bacterial foodborne outbreak in the world.
Objective: This study has been conducted to detect salmonella as a major public health problem worldwide.
Methods: A total of 12 samples including 8 white meat (chicken) and 4 red meat (beef) samples were collected randomly from each sample; 25gr was separated and treated with 225ml of buffered peptone water, incubated at 37C°and 42C° for 24 hours. Samples were streaked on selective enteric agar.
Result: Totally 4 out of 8 chicken meat and one out of 4 red meat samples were contaminated with Salmonella spp.
Conclusion: These results confirmed the previous findings stating the proper packaging of meat prod

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Publication Date
Mon Jan 01 2024
Journal Name
Fifth International Conference On Applied Sciences: Icas2023
A modified Mobilenetv2 architecture for fire detection systems in open areas by deep learning

This research describes a new model inspired by Mobilenetv2 that was trained on a very diverse dataset. The goal is to enable fire detection in open areas to replace physical sensor-based fire detectors and reduce false alarms of fires, to achieve the lowest losses in open areas via deep learning. A diverse fire dataset was created that combines images and videos from several sources. In addition, another self-made data set was taken from the farms of the holy shrine of Al-Hussainiya in the city of Karbala. After that, the model was trained with the collected dataset. The test accuracy of the fire dataset that was trained with the new model reached 98.87%.

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Publication Date
Sun Oct 22 2023
Journal Name
Iraqi Journal Of Science
Detection of Toxoplasma Antibodies and TNF-α in Rheumatoid Arthritis Patients Treated with Methotrexate

This study was conducted to evaluate the prevalence rate of
toxoplasmosis among 294 rheumatoid arthritis (RA) patients treated with
methotrexate (MTX), 50 RA patients without treatment and 50 samples as
healthy control. Blood samples were collected and the presence of T.gondii
IgG and IgM antibodies was determined by using Enzyme linked
immunosorbent assay (ELISA). Tumor necrosis factor alpha (TNF-α) was
also estimated in serum of all subjects by using ELISA method too. The
seroprevalence of toxoplasmosis IgM and IgG in RA+MTX was
60(20.408%), and 98(33.33%), in RA patients 4(8%), and 18(36%) while,
it was 2(24%), 6(12%) in healthy group. Tumor necrosis factor alpha
(TNF-α) was also estimated in serum of a

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Publication Date
Sun Jun 05 2016
Journal Name
Baghdad Science Journal
Developing an Immune Negative Selection Algorithm for Intrusion Detection in NSL-KDD data Set

With the development of communication technologies for mobile devices and electronic communications, and went to the world of e-government, e-commerce and e-banking. It became necessary to control these activities from exposure to intrusion or misuse and to provide protection to them, so it's important to design powerful and efficient systems-do-this-purpose. It this paper it has been used several varieties of algorithm selection passive immune algorithm selection passive with real values, algorithm selection with passive detectors with a radius fixed, algorithm selection with passive detectors, variable- sized intrusion detection network type misuse where the algorithm generates a set of detectors to distinguish the self-samples. Practica

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Publication Date
Sun Apr 03 2016
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Detection of Galactomannan Antigen in the Serum of Iraqi Patients with Suspected Invasive Aspergillosis

Invasive aspergillosis is a severe infection that occurs in patients with prolonged neutropenia, following chemotherapy,transplantation,or immunosuppressive protocols .Galactomannan ( GM) is a molecule ,found in the cell wall of Aspergillus species and is released in the blood during growth .The detection of GM in the blood is used to diagnose the invasive Aspergillosis in humans using ELISA assay.
Objectives: To detect Galactomannan antigen in in the serum of immunocompramized patients suspected to have invasive aspergillosis.
Patients and methods: This study was conducted on 50 patients from the hematology&oncology department,of Baghdad teaching hospital and pediatric oncology wards ,from March 2013 to October 2013.The patien

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