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20192025
most citedEfficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images

13 citations · 28 across the 11 of their papers we have counts for

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eess.IV2025★ 1 cited

A Steel Surface Defect Detection Method Based on Lightweight Convolution Optimization

Cong Chen, Ming Chen, Hoileong Lee +2

Surface defect detection of steel, especially the recognition of multi-scale defects, has always been a major challenge in industrial manufacturing. Steel surfaces not only have de…

eess.IV2025

SLENet: A Novel Multiscale CNN-Based Network for Detecting the Rats Estrous Cycle

Qinyang Wang, Hoileong Lee, Xiaodi Pu +2

In clinical medicine, rats are commonly used as experimental subjects. However, their estrous cycle significantly impacts their biological responses, leading to differences in expe…

eess.IV2022

Kidney and Kidney Tumour Segmentation in CT Images

Qi Ming How, Hoi Leong Lee

Automatic segmentation of kidney and kidney tumour in Computed Tomography (CT) images is essential, as it uses less time as compared to the current gold standard of manual segmenta…

eess.IV2022★ 1 cited

Diagnosis of COVID-19 based on Chest Radiography

Mei Gah Lim, Hoi Leong Lee

The Coronavirus disease 2019 (COVID-19) was first identified in Wuhan, China, in early December 2019 and now becoming a pandemic. When COVID-19 patients undergo radiography examina…

eess.IV2019★ 13 cited

Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images

Hoileong Lee, Tahreema Matin, Fergus Gleeson +1

The human lung is a complex respiratory organ, consisting of five distinct anatomic compartments called lobes. Accurate and automatic segmentation of these pulmonary lobes from com…