7 citations · 14 across the 2 of their papers we have counts for
3 papers
Automatic microscopic cell counting by use of deeply-supervised density regression model
Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel +2
Accurately counting cells in microscopic images is important for medical diagnoses and biological studies, but manual cell counting is very tedious, time-consuming, and prone to su…
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression
Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel +2
Accurate cell counting in microscopic images is important for medical diagnoses and biological studies. However, manual cell counting is very time-consuming, tedious, and prone to…
Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images
Shenghua He, Jie Zheng, Akiko Maehara +4
Optical coherence tomography (OCT) can provide high-resolution cross-sectional images for analyzing superficial plaques in coronary arteries. Commonly, plaque characterization usin…