11 citations · 31 across the 6 of their papers we have counts for
4 papers · 1 filter
ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results
Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan +6
Manual examination of faecal smear samples to identify the existence of parasitic eggs is very time-consuming and can only be done by specialists. Therefore, an automated system is…
Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset
Perla Mayo, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse +2
Automatic detection of parasitic eggs in microscopy images has the potential to increase the efficiency of human experts whilst also providing an objective assessment. The time sav…
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom +3
Intestinal parasitic infection leads to several morbidities to humans worldwide, especially in tropical countries. The traditional diagnosis usually relies on manual analysis from…
Analysis of Vision-based Abnormal Red Blood Cell Classification
Annika Wong, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse +3
Identification of abnormalities in red blood cells (RBC) is key to diagnosing a range of medical conditions from anaemia to liver disease. Currently this is done manually, a time-c…