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8 articles for “Automated diagnosis”
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Automated Diagnosis and Drug Delivery System for Colon Cancer Using Biosensors and Nanostructures
Abstract: Colorectal cancer stands as a significant global health challenge, necessitating innovative approaches for early detection and effective treatment. This paper presents a novel framework for addressing this challenge by integrating biosensors with nano materials and nano structures to create an automated system for colon cancer diagnosis and treatment. The proposed system leverages the unique properties of biosensors for real-time disease detection and the advanced capabilities of nano materials and nano …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 1, 2024 · pp. 10–23 Read article
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Using an Embedded System for Accurately Diagnosis of Bone Tumors and of Selection of the Best Treatment in Real Time
Abstract: An embedded system is the use of a combination of a programmable device and software to operate that device in order to perform a specific desired operation. The article presents a developed embedded system that combines an IR spectrophotometer and a programmable logic controller (PLC), controlledby a specially developed "Spectrum" program for accurately diagnosis of bone tumors and of selection of the optimal treatment for the detected disease in real …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 27–32 Read article
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Malaria Detection using Machine Learning
Abstract: A life-threatening disease called Malaria is caused by parasites that get transmitted intopeople's body by the bites of infected mosquitoes. If Automation is used for the diagnosisprocess of this disease it will enable accurate diagnosis of the disease and hence it willdeliver a reliable health-care to resource-scarce areas. Currently malaria is being diagnosedby performing microscopic tests on blood smears of the patients. They require examinationby a skilled and well experienced …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 40–44 Read article
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Image Caption Generator Implementation
Abstract: Image caption generation is a software technology that takes an image as an input and produces a descriptive caption in text form. In the modern era, this technology finds application in various fields. For instance, automatically generating captions for medical images aids in diagnosis and enhances reporting efficiency, helping healthcare professionals to quickly interpret complex visuals. In the realm of autonomous vehicles, image captioning enables these vehicles to understand and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 18–23 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Developed Software “Medical Office” as Main Part of Embedded Computing Medical System
Abstract: The embedded system is a combination of computer hardware and software, designed to develop and implement algorithms in programming languages in such a way as to use several computers as automated workstations of a doctor to solve the general problem of medicine - the coverage of monitoring patients, their treatment and predicting the results of treatment in large medical center or centers.This goal is achieved through the development of such …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 17–29 Read article
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Maculopathy Detection and Recommendation using Machine Learning
Abstract: Maculopathies, a diverse group of eye diseases affecting the central portion of the retina, the macula, are a leading cause of vision loss globally. Early detection and accurate diagnosis are critical for timely intervention and preventing irreversible vision loss. However, traditional methods such as manually detecting the disease are time-consuming, tiring, and often lack sensitivity and specificity, hindering optimal patient care. Here we delve into the applications of machine learning …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 10–16 Read article