Publications by authors named "Pretom Shome"
Front Public Health
August 2021
Article Synopsis
- Computer vision, specifically convolutional neural networks (CNNs), is explored for classifying environmental stages of parasites and their snail hosts in public health, focusing on schistosomiasis as a case study.
- The study trained a CNN on a dataset of over 10,600 images from the Senegal River Basin, achieving high accuracy (99% for snails and 91% for cercariae) comparable to expert guidelines.
- Results indicate that such machine learning models could assist in identifying disease vectors in remote areas, enhancing public health efforts by providing a practical tool for classification using smartphones.
