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Kaushik, V.
- Tophaceous Gout with Multiple Unusual Large Tophi and Severe Joints Destruction–A Pictorial Case Report
Abstract Views :174 |
PDF Views:1
Authors
Affiliations
1 Department of Medicine, Dr Yashwant Singh Parmar Govt. Medical College, Nahan, Distt-Sirmour, Himachal Pradesh - 173001, IN
1 Department of Medicine, Dr Yashwant Singh Parmar Govt. Medical College, Nahan, Distt-Sirmour, Himachal Pradesh - 173001, IN
Source
The Indian Practitioner, Vol 70, No 5 (2017), Pagination: 22-25Abstract
Gout is a chronic metabolic disease that can manifest as acute or chronic arthritis, and deposition of monosodium urate crystals in joint, bones, soft tissues and kidneys. It can either manifest as acute arthritis or chronic tophaceous gout. It usually affects the first metatarsophalangeal joint of the foot and less commonly other joints such as wrists, elbows, knees and ankles. We report a case of a 17 year old young boy with tophaceous multiarticular gout with unusual large tophi in hands, feet and knees. Severe joint destruction and ulcers due to tophaceous gout are currently uncommon considering the positive effect of medical treatment in controlling hyperuricemia. In this case we emphasize the disabling effects of undertreated hyperuremic arthropathy.Keywords
Tophaceous Gout, Tophi, Hyperuricemia, Arthritis.
References
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- Verma S, Bhargav P, Toprani T, Shah S. Multiarticular tophaceous gout with severe joint destruction: a pictorial overview with a twist. Indian J Dermatol 2014;59(6):609-611.
- Identification of Medicinal Plants using Visual Characteristics of Leaves and Flowers
Abstract Views :199 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
2 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
1 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
2 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
Source
Digital Image Processing, Vol 13, No 5 (2021), Pagination: 81-85Abstract
The proposed framework helps in ID of plant sickness and gives cures that can be utilized as a safeguard component against the illness. The information base got from the Internet is appropriately isolated and the distinctive plant species are recognized and are renamed to frame a legitimate data set then, at that point get test-data set which comprises of different plant infections that are utilized for checking the exactness and certainty level of the undertaking. Then, at that point utilizing preparing information, the classifier is prepared and afterward yield will be anticipated with ideal exactness. The proposed system comes under Machine learning domain. Machine Learning centers around the improvement of programs that can get to information and use it to find out on their own. Machine Learning has various applications and has been used to tackle real world problems in an efficient manner. It has applications in medicine, communication, entertainment, military and so on. Convolutional Neural Network (CNN) which comprises of different has been used for classification and prediction. The problem with existing systems is that they are limited to a few numbers of plant species or due to use of inefficient algorithms have not been able to achieve the desired levels of accuracy. With the proposed system and training model an accuracy level of 78% was achieved. The proposed framework gives the name of the plant species with its certainty level and the cure that can be taken as fix.Keywords
Machine Learning, Convolutional Neural Network.References
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- Mr. K.Nithiyanandhan and Prof.T. Bhaskara Reddy, "Analysis of the Medicinal Leaves by using Image Processing Techniques and ANN", Vol 8, No. 5, ISSN No. 0976-5697, May June 2017.
- Adams Begue, Venitha Kowlessur, Fawzi Mahomoodally, Upasana Singh and Sameerchand, "Automatic Recognition of Medicinal Plants using Machine Learning Techniques", International Journal of Advanced Computer Science and Applications, Vol. 8, No. 4, 2017.
- H. X. Kan, L. Jin, and F. L. Zhou," Classification of Medicinal Plant Leaf Image Based on Multi-Feature Extraction", Pattern Recognition and Image Analysis, Vol. 27, No. 3, 2017, pp. 581–587, 1054-6618. © Pleiades Publishing, Ltd
- Riddhi H. Shaparia, Dr. Narendra M. Patel and Prof. Zankhana H. Shah," Flower Classification using Texture and Color Features", International Conference on Research and Innovations in Science, Engineering &Technology, Volume 2, 2017, Pages 113–118.
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