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Detection of Hookworm using WCE Method

Monisha. C, Poornima. P, Jayasree. D

Abstract


Inflammatory bowel diseases and disorders can be examined by using wireless capsule endoscopy (WCE). Many attempts were made to investigate the automated hookworm detection using WCE technique. One of the most common parasites is known as hookworm which is a kind of small tubular structure with greyish white or pinkish semi-transparent body. This project is implemented to detect the hookworm in human. To solve the bugs that has been founded in the existing system and to stimulate the software with high power and high pixel.


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References


DCNN

https://towardsdatascience.com/advanced-topics-in-deep-convolutional-neural-networks-71ef1190522d

Wireless endoscopy

https://www.mayoclinic.org/tests-procedures/capsule-endoscopy/about/pac-20393366

Hookworms and Allergies

https://www.medicalnewstoday.com/articles/244238.php#1

ANN

https://towardsdatascience.com/applied-deep-learning-part-1-artificial-neural-networks-d7834f67a4f6

Deep Learning(DI)

https://www.mathworks.com/discovery/deep-learning.html

Endoscopy Imaging (EI)

https://link.springer.com/article/10.1007/s11042-016-4219-z

Wireless Endoscopy

https://arxiv.org/ftp/arxiv/papers/1802/1802.07788.pdf

Feature Extraction

https://medium.com/@mehulved1503/feature-selection-and-feature-extraction-in-machine-learning-an-overview-57891c595e96

Hookworm Infection

https://www.medicalnewstoday.com/articles/313077.php

Symptoms of Hookworm

https://www.webmd.com/a-to-z-guides/qa/what-are-the-symptoms-of-hookworm-infection


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