Approach of Image Processing in Diagnosis and Medication of Fungal Infections in Pet Animals

Aarti Chugh, P. Makkar, S. Aggarwal, Shriya Sharma, Yashwant Kumar Singh
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Abstract

The focus of this paper is to design and develop the Artificial Intelligence and Machine Learning based system which detects the fungal infection on a pet animal (especially Dog and Cat), and provide the treatment for it. It also provides the causes, Symptoms, Prevention for it. The proposed system integrates on Machine Learning algorithm trained on disease dataset, it first detects the species of pet animal by capturing the image of fungal infection of pet by using camera or by uploading the image in the system from the file explorer, and then provide the diagnosis about the fungal disease and its medication and treatment also. Although our system will verify the scan image for determining the diseases in canine. Diagnosing the Fungal Infection on pet animal quickly and accurately has the economic effectiveness.
图像处理在宠物真菌感染诊断和治疗中的应用
本文的重点是设计和开发基于人工智能和机器学习的宠物动物(特别是狗和猫)真菌感染检测系统,并提供治疗。它还提供了它的原因,症状和预防。该系统结合基于疾病数据集训练的机器学习算法,首先通过摄像头捕捉宠物真菌感染的图像,或者通过文件资源管理器上传宠物真菌感染的图像到系统中,对宠物动物的种类进行检测,然后提供真菌疾病的诊断和药物治疗。虽然我们的系统将验证扫描图像,以确定犬的疾病。快速准确地诊断宠物真菌感染具有经济效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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