Publications by authors named "Xin-Hui Lam"
Article Synopsis
- - White blood cells (WBCs) play a crucial role in the immune system by combating infections, and this research focuses on enhancing the segmentation and classification of WBC images, which currently lack robust automated methods.
- - The study introduces a triple thresholding method for segmenting WBCs and employs a convolutional neural network (CNN) with transfer learning, specifically using the pre-trained InceptionV3 model, for classifying WBCs as healthy or malignant based on the Acute Lymphoblastic Leukemia Image Database (ALL-IDB).
- - The proposed methods achieved impressive results, with segmentation accuracy of 90.45% and classification accuracy exceeding 96% for the CNN model, indicating a significant improvement over existing techniques
