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Related papers: A Computer Vision Approach to Combat Lyme Disease

200 papers

Around the globe, ticks are the culprit of transmitting a variety of bacterial, viral and parasitic diseases. The incidence of tick-borne diseases has drastically increased within the last decade, with annual cases of Lyme disease soaring…

Image and Video Processing · Electrical Eng. & Systems 2020-11-24 Lauren Michelle Pfeifer , Matias Valdenegro-Toro

Lyme disease which is one of the most common infectious vector-borne diseases manifests itself in most cases with erythema migrans (EM) skin lesions. Recent studies show that convolutional neural networks (CNNs) perform well to identify…

Borrelia burgdorferi sensu stricto is a bacterial spirochete prevalent in the Northeastern United States that causes Lyme disease. Lyme disease is the most common arthropod-borne disease in the United States; affecting mice, deer, humans…

Populations and Evolution · Quantitative Biology 2013-08-12 Matthew Jastrebski , Joan Ponce , Daniel Burkow , Oyita Udiani , Dr. Leon Arriola

With the resurgence of tick-borne diseases such as Lyme disease and the emergence of new pathogens such as Powassan virus, understanding what distinguishes vector from non-vector species, and predicting undiscovered tick vectors is an…

Populations and Evolution · Quantitative Biology 2016-06-22 Barbara A. Han , Laura Yang

Lyme disease is a rapidly growing illness that remains poorly understood within the medical community. Critical questions about when and why patients respond to treatment or stay ill, what kinds of treatments are effective, and even how to…

Computers and Society · Computer Science 2020-09-22 Joshua Vendrow , Jamie Haddock , Deanna Needell , Lorraine Johnson

The deer tick, $\textit{Ixodes scapularis}$, is a vector for numerous human diseases, including Lyme disease, anaplasmosis, and babesiosis. Concern is rising in the US and abroad as the population and range of this species grow and new…

Populations and Evolution · Quantitative Biology 2021-12-21 Thomas G. Kirby , Julie C. Blackwood

We examine progress in the use of AI for detecting skin lesions, with particular emphasis on the erythema migrans rash of acute Lyme disease, and other lesions, such as those from conditions like herpes zoster (shingles), tinea corporis,…

Image and Video Processing · Electrical Eng. & Systems 2020-10-12 Philippe M. Burlina , William Paul , Phil A. Mathew , Neil J. Joshi , Alison W. Rebman , John N. Aucott

Lymphedema is a condition of localized tissue swelling caused by a damaged lymphatic system. Therapy to these tissues is applied manually. Some of the methods are lymph drainage, compression therapy or bandaging. However, the therapy…

Computer Vision and Pattern Recognition · Computer Science 2019-11-05 Gerrit Brugman , Beril Sirmacek

The diagnosis of glaucoma plays a critical role in the management and treatment of this vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by damaging the optic nerve at the back of the eye. Often called…

Image and Video Processing · Electrical Eng. & Systems 2024-10-24 Yuki Hagiwara , Octavia-Andreea Ciora , Maureen Monnet , Gino Lancho , Jeanette Miriam Lorenz

Plant diseases significantly impact our food supply, causing problems for farmers, economies reliant on agriculture, and global food security. Accurate and timely plant disease diagnosis is crucial for effective treatment and minimizing…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Bimarsha Khanal , Paras Poudel , Anish Chapagai , Bijan Regmi , Sitaram Pokhrel , Salik Ram Khanal

Malaria is considered one of the deadliest diseases in today world which causes thousands of deaths per year. The parasites responsible for malaria are scientifically known as Plasmodium which infects the red blood cells in human beings.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-22 Aayush Kumar , Sanat B Singh , Suresh Chandra Satapathy , Minakhi Rout

Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease using deep learning techniques can be effective to prevent long-term complications. Existing works on deep learning based EM recognition only…

Since mpox can spread from person to person, it is a zoonotic viral illness that poses a significant public health concern. It is difficult to make an early clinical diagnosis because of how closely its symptoms match those of measles and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Md. Zahid Hossain , Md. Rakibul Islam , Most. Sharmin Sultana Samu

Glaucoma is a major eye disease, leading to vision loss in the absence of proper medical treatment. Current diagnosis of glaucoma is performed by ophthalmologists who are often analyzing several types of medical images generated by…

Computer Vision and Pattern Recognition · Computer Science 2019-04-05 Mijung Kim , Olivier Janssens , Ho-min Park , Jasper Zuallaert , Sofie Van Hoecke , Wesley De Neve

Identification of plant disease is usually done through visual inspection or during laboratory examination which causes delays resulting in yield loss by the time identification is complete. On the other hand, complex deep learning models…

Computer Vision and Pattern Recognition · Computer Science 2021-02-10 Nisar Ahmed , Hafiz Muhammad Shahzad Asif , Gulshan Saleem

Automatic classification of skin disease plays an important role in healthcare especially in dermatology. Dermatologists can determine different skin diseases with the help of an android device and with the use of Artificial Intelligence.…

Image and Video Processing · Electrical Eng. & Systems 2023-04-07 Jessica S. Velasco , Jomer V. Catipon , Edmund G. Monilar , Villamor M. Amon , Glenn C. Virrey , Lean Karlo S. Tolentino

Monkeypox is a viral disease characterized by distinctive skin lesions and has been reported in many countries. The recent global outbreak has emphasized the urgent need for scalable, accessible, and accurate diagnostic solutions to support…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Huda Alghoraibi , Nuha Alqurashi , Sarah Alotaibi , Renad Alkhudaydi , Bdoor Aldajani , Lubna Alqurashi , Jood Batweel , Maha A. Thafar

Among all animals, mosquitoes are responsible for the most deaths worldwide. Interestingly, not all types of mosquitoes spread diseases, but rather, a select few alone are competent enough to do so. In the case of any disease outbreak, an…

Computer Vision and Pattern Recognition · Computer Science 2020-07-23 Mona Minakshi , Pratool Bharti , Willie B. McClinton , Jamshidbek Mirzakhalov , Ryan M. Carney , Sriram Chellappan

Mosquito-borne diseases (MBDs), such as dengue virus, chikungunya virus, and West Nile virus, cause over one million deaths globally every year. Because many such diseases are spread by the Aedes and Culex mosquitoes, tracking these larvae…

Computer Vision and Pattern Recognition · Computer Science 2022-09-19 Aswin Surya , David B. Peral , Austin VanLoon , Akhila Rajesh

Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching implications for yield and quality in the tea industry. The rise of machine learning has enabled the development of innovative approaches to combat…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Faruk Ahmed , Md. Taimur Ahad , Yousuf Rayhan Emon
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