Browsing Biomedical Engineering by Title

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Acquisition and Classification of Lung Sounds for Improving the Efficacy of Auscultation Diagnosis of Pulmonary Diseases Article

Tessema, Biruk Abera; Nemomssa, Hundessa Daba; Simegn, Gizeaddis Lamesgin (2022-04-07)

Purpose: Lung diseases are the third leading cause of death worldwide. Stethoscope-based auscultation is the most commonly used, non-invasive, inexpensive, and primary diagnostic approach for assessing lung conditions. ...
Acta Parasitologica Globalis Study on Prevalence of Ovine Lungworm in Gomma District, Jimma Zone, South West Ethiopia Thesis

Semira Abdela; Mukarim Abdurahaman (2016)

A cross-sectional study was carried out in Gomma district, Jimma Zone from November, 2014 to March, 2015. The purposes of study were to determine the prevalence and identification of species lungworm circulate in study ...
Adsorption behaviour of Cr(VI) onto macro and micro-vesicular volcanic rocks from water Article

Esayas Alemayehu; Thiele-Bruhn; Bernd Lennartz (2011-08)

Adsorption by volcanic rocks is investigated as a possible alternative to the conventional method of Cr(VI) removal from polluted waters. In this work, adsorption of Cr(VI) onto pumice (VPum) and scoria (VSco) has been ...
Analysing the Effects of Khat and Khat Addiction Rehabilitation Therapy on Heart Activity Thesis

Assaye, Ewunate; Simegn, Gizeaddis Lamesgin; Aboye, Genet Tadesse (2022-03-03)

Khat is a flowering plant whose leaves and stems are chewed for excitement purposes. It is very common in east African and Arabian countries. Khat can cause mood changes, increased alertness, hyperactivity, anxiety, ...
Analysis of Heart Sound for Biometric Identification system using Bayesian Optimized Support vector machine (SVM) Thesis

Gazahegn, Kalkidan; K, Janarthanan; Hailu, Werqnesh (2024-05-31)

Researchers have found that the distinctiveness of the phonocardiogram (PCG) signal can be used for biometric identification, unlike advances in heart sound analysis for screening and diagnosing different heart problems. ...
Anti-Toxoplasma antibodies prevalence and associated risk factors among HIV patients Article

Dechassa Tegegne; Mukarim Abdurahaman; Tadesse Mosissa et.al (2016-03)

Objectives: To assess the seroprevalence and associated risk factors of toxoplasmosis among HIV patients in Agaro Town Health Center of Jimma zone. Methods: Convenient sampling was used to collect blood samples from 135 ...
Artificial Intelligence-Based Breast and Cervical Cancer Diagnosis and Management System Article

Zewde, Elbetel Taye; Degu, Mizanu Zelalem; Simegn, Gizeaddis Lamesgin (2023-02-23)

Breast cancer and cervical cancer are two of the most common and deadly malignancies in women. Early diagnosis and treatment can save lives and improve quality of life. However, there is a shortage of pathologists and ...
Artificial Intelligence-based System for Diagnosis of Cardiovascular Diseases Article

Simegn, Gizeaddis Lamesgin; Gebeyehu, Worku Birhanie; Degu, Mizanu Zelalem (2022-01-29)

Cardiovascular diseases are the leading causes of death worldwide and the number of people dying from cardiovascular disease is steadily increasing. The rapid economic transformation leading to environmental changes and ...
Automated Detection and Classification of Glaucoma and Macular Degeneration Using Convolutional Neural Network Thesis

Muluken Gerbi; Gizeaddis L. Simegn; Kokeb Dese (2020-05)

Eye is the most complex and sensitive organs of our body which enables us to visualize things. Globally, around 1.3 billion people will live with visual impairment. Most eye diseases may gradually lead to permanent ...
Automated Detection System for Tuberculosis from Sputum Smear Microscope Images Using Deep Neural Networks Thesis

Gedamu, Fikremariam; Kwa, Timothy; Worku, Abel (2022-08-12)

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis bacteria and most often affects the lung. It was the leading cause of death worldwide from a single infectious agent until the COVID-19 ...
Automated volumetric determination of high R2 * regions in substantia nigra: A feasibility study of quantifying substantia nigra atrophy in progressive supranuclear palsy Article

Tessema, Abel Worku; Lee, Hansol; Gong, Yelim; Cho, Hwapyeong; Adem, Hamdia Murad; Lyu, Ilwoo; Lee, Jae-Hyeok; Cho, HyungJoon (2022-06-28)

The establishment of an unbiased protocol for the automated volumetric measure ment of iron-rich regions in the substantia nigra (SN) is clinically important for diag nosing neurodegenerative diseases exhibiting midbrain ...
Automatic Detection, Classification, Counting and Quantification of Morphological Parameters of Blood Cells from Microscopic Images Using YOLOv2 Thesis

Abel Worku; Timothy Kwa; Mohammed Ali (2019)

It is well known that the current methods used for blood cell segmentation and counting are very tedious and are highly prone to different sources of errors especially if the density of cells is very high, and overlapping ...
Automatic Diagnosis of Breast Cancer from Histopathological Images Using Deep Learning Technique Thesis

Elbetel Taye; Gizeaddis L. Simegn; Abel W (2020-01)

Breast cancer is an invasive tumor that develops in the breast tissue. It is the most common cancer and also the leading cause of cancer mortality among females worldwide. Survival from breast cancer can be increased ...
Automatic Diagnosis of Parkinson’s Disease Using EMG Signals from Different Hand Movements Thesis

Hamdia Murad; Gizeaddis L. Simegn; Abel Worku (2019)

Parkinson's disease (PD) is the second most common neurodegenerative disease that affects wide range of productive individuals worldwide. It is neurological disorder characterized by muscle rigidity, tremors, uncontrolled ...
Automatic Sleep Apnea Syndrome Detection and Classification of Severity Level from ECG and SpO2 Signals Thesis

Mikiyas Petros; Gizeaddis L. Simegn; Hundessa Daba (2020-01)

Sleep apnea-hypopnea syndrome (SAHS) is widespread sleep and respiratory disorder which is characterized by breaks in breathing or instances of superficial or uncommon breathing during sleep. SAHS diagnosis is commonly ...
Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals Article

Daydulo, Yared Daniel; Thamineni, Bheema Lingaiah; Dawud, Ahmed Ali (2023-10-09)

Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically, ECG machines are utilized to diagnose and monitor ...
Cervix Type and Cervical Cancer Classification System Using Deep Learning Techniques Article

Habtemariam, Lidiya Wubshet; Zewde, Elbetel Taye; Simegn, Gizeaddis Lamesgin (2022-06-16)

Cervical cancer is the 4th most common cancer among women, worldwide. Incidence and mortality rates are consistently increasing, especially in developing countries, due to the shortage of screening facilities, limited ...
Cervix Type and Cervical Cancer Classification Using Deep Learning Technique Thesis

Wubshet, Lidiya; Simegn, Gizeaddis L.; Taye, Ms. Elbetel (2022-02-12)

Cervical cancer is the most common cancer among women worldwide. It is screened using visual inspection after application of acetic acid (VIA), Papanicolaou (Pap), and Human papillomavirus (HPV) test and diagnosed by ...
Classification of Cardiovascular Diseases Mimicking Electrocardiogram Signal Characteristics of Myocardial Infarction and Localization of Myocardial Infarction Us ing Deep Lear Thesis

Rabira Abdena; Taye Tolu; Shimelis Nigusu (2023-06)

Myocardial Infarction (MI) is a common Cardiovascular Disease (CVD) caused when blood flow through the coronary artery to a segment of the myocardium is disrupted and causes the perfusion of imbalance between demand and ...
Classification of Diabetic Retinopathy and Segmentation of Hard Exudates from Retinal Fundus Images Thesis

Selamawit Hadush; Timothy Kwa; Mohammed Aliy (2020-05)

Diabetic Retinopathy (DR) is a disorder of the retinal vasculature. It happens in nearly all patients with long-standing diabetes mellitus and can result in blindness. Screening of DR is essential for both early detection ...

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