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20202025
most citedParasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning

11 citations · 33 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2025

Mamba-Based Ensemble learning for White Blood Cell Classification

Lewis Clifton, Xin Tian, Duangdao Palasuwan +3

White blood cell (WBC) classification assists in assessing immune health and diagnosing various diseases, yet manual classification is labor-intensive and prone to inconsistencies.…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 8 cited

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…

cs.CV2021★ 11 cited

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…

cs.CV2021★ 10 cited

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…

eess.IV2020★ 3 cited

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…