Results 1 to 10 of about 2,719,383 (49)

Maedi-Visna: Sero-prevalence and risk factors in sheep population of South Wollo and North Shewa Zones, Ethiopia

open access: yesJournal of Science and Inclusive Development, 2023
Maedi-Visna (MV) is a chronic disease of adult sheep characterised by progressive interstitial pneumonia and other syndromes such as meningo-encephalitis, indurative mastitis, and arthritis.
Enyiew Alemnew   +3 more
doaj   +1 more source

Pneumocystis jirovecii pneumonia induced by low-dose methotrexate in a patient with chronic urticaria [PDF]

open access: yesAnais Brasileiros de Dermatologia, 2017
Methotrexate has immunosuppressive effects and is administered for refractory chronic urticaria. We present a case of Pneumocystis jirovecii pneumonia in a patient with refractory chronic urticaria managed by low-dose weekly methotrexate treatment (total
Sheng-Huei Wang   +4 more
doaj   +1 more source

Ovine Progressive Pneumonia: Diagnosis and Seroprevalence in the South of Sonora, Mexico

open access: yesCase Reports in Veterinary Medicine, 2021
Ovine progressive pneumonia (OPP) is the most severe presentation of small ruminant lentivirus (SRLV) infection known as Maedi-Visna. Serological evidence in Mexico of the presence of this lentivirus was published in 1986.
Mercedes Yannin Borquez Cuevas   +4 more
doaj   +1 more source

Elongation Factor Tu and Heat Shock Protein 70 Are Membrane-Associated Proteins from Mycoplasma ovipneumoniae Capable of Inducing Strong Immune Response in Mice. [PDF]

open access: yesPLoS ONE, 2016
Chronic non-progressive pneumonia, a disease that has become a worldwide epidemic has caused considerable loss to sheep industry. Mycoplasma ovipneumoniae (M. ovipneumoniae) is the causative agent of interstitial pneumonia in sheep, goat and bighorn.
Fei Jiang   +6 more
doaj   +1 more source

COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring [PDF]

open access: yesIEEE J Biomed Health Inform. 2021 Mar 26;PP, 2020
In this work, we estimate the severity of pneumonia in COVID-19 patients and conduct a longitudinal study of disease progression. To achieve this goal, we developed a deep learning model for simultaneous detection and segmentation of pneumonia in chest Xray (CXR) images and generalized to COVID-19 pneumonia. The segmentations were utilized to calculate
arxiv   +1 more source

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray [PDF]

open access: yesAppl. Sci. 2020, 10(9), 3233, 2020
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon in the right time and thus an early diagnosis of pneumonia is vital. The aim of this paper is to automatically detect bacterial and viral pneumonia using digital x-ray images.
arxiv   +1 more source

Vaccination delays maedi-visna lentivirus infection in a naturally-infected sheep flock

open access: yesBMC Veterinary Research, 2013
Background The Maedi-Visna (MV) lentivirus causes two slowly progressive eventually fatal diseases of sheep, Maedi, a progressive interstitial pneumonia, and Visna, a progressive demyelinating disease of the central nervous system.
Gudnadóttir Margrét   +2 more
doaj   +1 more source

An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays [PDF]

open access: yesApplied Soft Computing, 2022, 109464, ISSN 1568-4946, 2022
Pneumonia is one of the major reasons for child mortality especially in income-deprived regions of the world. Although it can be detected and treated with very less sophisticated instruments and medication, Pneumonia detection still remains a major concern in developing countries.
arxiv   +1 more source

Collision-Free Shepherding Control of a Single Target within a Swarm [PDF]

open access: yesarXiv, 2023
The shepherding problem refers to guiding a group of agents (called sheep) to a specific destination using an external agent with repulsive forces (called shepherd). Although various movement algorithms for the shepherd have been explored in the literature, there is a scarcity of methodologies for selective guidance, which is a key technology for ...
arxiv  

An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images [PDF]

open access: yesSciTePress 2021, 2020
Pneumonia is caused by viruses, bacteria, or fungi that infect the lungs, which, if not diagnosed, can be fatal and lead to respiratory failure. More than 250,000 individuals in the United States, mainly adults, are diagnosed with pneumonia each year, and 50,000 die from the disease.
arxiv   +1 more source

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