11 citations · 34 across the 7 of their papers we have counts for
7 papers
The Green Premium Puzzle: Empirical Evidence from Climate-Friendly Food Products
Voraprapa Nakavachara, Chanon Thongtai, Thanarat Chalidabhongse +1
This paper investigates whether climate-friendly food products command a price premium in consumer markets. Using product-level data from a supermarket in Sweden, we examine the re…
Ethical Appetite: Consumer Preferences and Price Premiums for Animal Welfare-Friendly Food Products
Voraprapa Nakavachara, Chanon Thongtai, Thanarat Chalidabhongse +1
This study examines how consumer attitudes toward animal welfare influence food selection and pricing using real-world market data from a Swiss supermarket. Our findings indicate t…
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…
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset
Korranat Naruenatthanaset, Thanarat H. Chalidabhongse, Duangdao Palasuwan +2
Automated red blood cell (RBC) classification on blood smear images helps hematologists to analyze RBC lab results in a reduced time and cost. However, overlapping cells can cause…