no code implementations • 11 Aug 2022 • Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Korranat Naruenatthanaset, Thananop Kobchaisawat, Nuntiporn Nunthanasup, Kanyarat Boonpeng, Xudong Ma, Alin Achim
Manual examination of faecal smear samples to identify the existence of parasitic eggs is very time-consuming and can only be done by specialists.
no code implementations • 6 Mar 2022 • Perla Mayo, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Alin Achim
Automatic detection of parasitic eggs in microscopy images has the potential to increase the efficiency of human experts whilst also providing an objective assessment.
no code implementations • 2 Jul 2021 • Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom, Duangdao Palasuwan, Thanarat H. Chalidabhongse, Nantheera Anantrasirichai
The traditional diagnosis usually relies on manual analysis from microscopic images which is prone to human error due to morphological similarity of different parasitic eggs and abundance of impurities in a sample.
no code implementations • 1 Jun 2021 • Annika Wong, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Attakorn Palasuwan, David Bull
This paper presents an automated process utilising the advantages of machine learning to increase capacity and standardisation of cell abnormality detection, and its performance is analysed.
1 code implementation • 2 Dec 2020 • Korranat Naruenatthanaset, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Nantheera Anantrasirichai, Attakorn Palasuwan
The imbalance ratio of this dataset was 34. 538 for 12 RBC classes from 20, 875 individual RBC samples.