The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This Cervical pathologies are frequently occuring diseases and may affect women's quality of life in many ways. These pathologies are curable with early detection and with a following suitable treatment plans. There are some screening methods to detect the cervix's abnormal regions like Pap smear, biopsy and colposcopy. Recently, studies about polarized imaging show additional methods to support diagnosis...
Detection of coronary artery stenosis, from 3D computed tomography angiography (CTA), is applicable for inspecting heart diseases. In this study, a semi-automatic method is proposed which its stages include 3D CTA pre-processing, vessel enhancement, coronary artery segmentation, centreline extraction, arteries cross-section diameter estimation, and stenosis detection. In contrast to conventional methods,...
Hypertension poses a serious atherosclerotic risk as it causes both macro- and micro circulation damage. Nailfold capillaroscopy is a valuable yet simple tool to assess microcirculation of blood capillaries. This technique is important in detecting early occurrences of scleroderma spectrum disorders and evaluating Raynaud's Phenomenon. Here it is used in detecting hypertension in patients. Current...
Acute lymphoblastic leukemia is a form of blood cancer caused due to the abnormal increase in the production of immature white blood cells in the bone marrow, mostly affecting children below 5 years and adults above 50 years of age. The ailment has to be detected and treated at an early stage for recovery. Early signs of the disease in children include fever and bruising which can go unnoticed during...
Tuberculosis is a global health threatening disease with mortality rates increasing day by day. As earlier TB detection methods do not ensure accurate results, there is an immediate action required to detect the disease with proper tools. To address this issue, a novel mechanism is proposed to detect tuberculosis in chest radiographs. The proposed method includes a three stage process of accurate...
This paper illustrates a comprehensive review about malaria identification method on thin blood smear, including conventional identification by expert and computer-aided identification. Even though effective way to overcome the malaria has been discovered, in fact these cases is still growing among developed country and murdering 1 million people annually; 90% of them are children from Africa. There...
Malaria is a serious health problem in Indonesia caused by malaria parasites. Early detection of Malaria is an important step to an effective treatment. Malaria parasite identification should be carried out based on observation on at least 100 fields view strong magnification of thick blood smears. Malaria parasite detection process is usually carried out with a microscope observation. But it consumes...
Retinal images can be used for helping ophthalmologist to diagnose the eye diseases, and glaucoma, hypertension, coronary heart diseases and so on, so it's very important. The most important content of this article is a new structural feature for retinal registration. There are many methods of retinal image registration; some are also used by this time. Lots of methods used the main bifurcation points...
The primary focus of this paper is to detect disease and estimate its stage for a cotton plant using images. Most disease symptoms are reflected on the cotton leaf. Unlike earlier approaches, the novelty of the proposal lies in processing images captured under uncontrolled conditions in the field using normal or a mobile phone camera by an untrained person. Such field images have a cluttered background...
Coccidia is an intestinal parasite that infects animals and causes Coccidiosis disease. Substantial animal mortality can be faced within several days of infection if it is not diagnosed or treated at the early stages of infection. Therefore, an urgent diagnostic tool has become necessary to tackle the spread of disease and to avoid animal death and subsequent business losses. Vets detect the disease...
This paper presents modification of conventional watershed algorithm for cell segmentation in microscopic images of desmoglein-3 stained specimen. Presented method combines color deconvolution for ihc marker separation and GVF for watershed segmentation. Conventional watershed is highly noise sensitive, which often occurs in microscopy images. Suggested solution considerably reduces over segmentation...
Now a days in the health economy scenario, there has been a significant number of medicinal services data consisting of concealed details. The treatment for ischemic heart disease is a tough nut to crack as it calls for a widened comprehension and skill. One of the widely used conventional approaches to figure out ischemic heart ailment is through a doctor's assessment. Rather the disease can also...
Humans are exposed to arsenic (As) primarily from air, food and water. Anyone can develop arsenic toxicity as a result of arsenic exposure. Most of the reports of chronic as well as toxicity in human focus attention on skin manifestations because of its diagnostic specificity. A dermal manifestation such as hyperpigmentation is diagnostic of chronic arsenicosis. This paper focuses on designing and...
Detecting stem diseases of plants by image analysis are still in an inchoate state in the research field. This research has been conducted on detecting the stem diseases of jute plants which is one of the most important cash crops in some of the Asian countries. An automated system based on an Android application has been implemented to take pictures of the disease affected stems of jute plants and...
Retinal image analysis is increasing popularity for the detection of eye disease like diabetic retinopathy, glaucoma, cardiovascular disease. In modern ophthalmology, the structure of retinal image with proper segmentation has achieved much interest for disease detection. This paper presents a method with some new features extraction methodology after applying segmentation procedure in retinal images...
This paper proposes a simple method of selecting effective brain local features for age estimation from T1-weighted MR images. We also employ the high-resolution AAL atlas, which is defined by 1,024 local regions, to improve the accuracy of age estimation. We evaluate performance of the proposed method using 1,099 T1-weighted images from a large-scale brain MR image database of healthy Japanese, and...
This work presents a method for the automatic segmentation of metacarpus and phalange bones in ultrasound images of the second metacarpophalangeal joint (MCPJ) using Active Contours. The MCPJ is known to be the one of the first structures to be affected by rheumatic diseases like rheumatoid arthritis. The early detection and follow-up of this disease is important to prevent irreversible damage of...
Duchenne Muscular Dystrophy (DMD) is a fatal X-linked disorder. Therapeutic assessments currently require muscle biopsy to ascertain information about the status of disease progression. MRI shows potential to be used in place of muscle biopsy for therapeutic assessments. In this work, localized histological data and various MRI parameters were correlated in a canine model of DMD. The results indicate...
Retinopathy of prematurity (ROP) is a disease affecting low birth-weight infants and is the major cause of childhood blindness. Although accurate diagnosis is important, there is a high variability among expert decisions mostly due to subjective thresholds. Existing work focused on automated diagnosis of ROP. In this study, we construct a continuous severity index as an alternative to discrete classification...
Chronic skin diseases like eczema may lead to severe health and financial consequences for patients if not detected and controlled early. Early measurement of disease severity, combined with a recommendation for skin protection and use of appropriate medication can prevent the disease from worsening. Current diagnosis can be costly and time-consuming. In this paper, an automatic eczema detection and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.