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Detection of Lyme Disease Rashes Using Deep Learning-Based Approach

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dc.contributor.author Adnan, MD. Sad
dc.date.accessioned 2022-11-26T05:27:46Z
dc.date.available 2022-11-26T05:27:46Z
dc.date.issued 22-09-21
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/9013
dc.description.abstract Lyme disease is the maximum not unusual place vector-borne disease with inside the United States. Lyme disease is resulting from the bacterium Borrelia burgdorferi and, rarely, the bacterium Borrelia mayonii. It is transmitted to human beings via way of means of the bites of an inflamed black flea. Typical signs encompass fever, headache, fatigue, and the feature pores and skin rash referred to as migraine. If left untreated, the contamination can unfold to the joints, heart, and nerve system. Lyme disease is recognized primarily based totally on signs, bodily signs (including a rash), and contacts to inflamed ticks. Lab exams are beneficial whilst used successfully and accomplished in a confirmed way. Most instances of Lyme disease may be effectively dealt with antibiotics inside some weeks. Prevention of Lyme disease consists of the usage of insect repellents, instantaneously elimination of ticks, insecticide spraying, and eliminating of tick habitat. Ticks that transmit Lyme disease can also from time to time transmit different tick-borne diseases. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Disease en_US
dc.subject Contamination en_US
dc.title Detection of Lyme Disease Rashes Using Deep Learning-Based Approach en_US
dc.type Other en_US


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