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Deep-learning assisted detection and quantification of (oo)cysts of Giardia and Cryptosporidium on smartphone microscopy images
The consumption of microbial-contaminated food and water is responsible for the deaths of millions of people annually.
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation
Supervised deep learning methods for semantic medical image segmentation are getting increasingly popular in the past few years. However, in resource constrained settings, getting large number of annotated images is very difficult as it mostly requires experts, is expensive and time-consuming. Semi-supervised segmentation can be an attractive solution where a very few labeled images are used along with a large number of unlabeled ones.
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