Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning

Volume: 27, Issue: 5, Pages: 2379 - 2392
Published: May 1, 2018
Abstract
As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidity, which seriously threatens human health. Recently, wireless capsule endoscopy (WCE) has been applied to automatic hookworm detection. Unfortunately, it remains a challenging task. In recent years, deep convolutional neural network (CNN) has demonstrated impressive performance in various image and video analysis tasks. In this paper, a novel...
Paper Details
Title
Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning
Published Date
May 1, 2018
Volume
27
Issue
5
Pages
2379 - 2392
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.