58 citations · 61 across the 4 of their papers we have counts for
4 papers
AI assisted method for efficiently generating breast ultrasound screening reports
Shuang Ge, Qiongyu Ye, Wenquan Xie +4
Background: Ultrasound is one of the preferred choices for early screening of dense breast cancer. Clinically, doctors have to manually write the screening report which is time-con…
Transparency guided ensemble convolutional neural networks for stratification of pseudoprogression and true progression of glioblastoma multiform
Xiaoming Liu, Michael D. Chan, Xiaobo Zhou +1
Pseudoprogression (PsP) is an imitation of true tumor progression (TTP) in patients with glioblastoma multiform (GBM). Differentiating them is a challenging and time-consuming task…
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet
Meiyu Li, Hailiang Tang, Michael D. Chan +2
Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) after receiving the standard treatment. In the course of post-treatment magnetic resonance i…
Efforts estimation of doctors annotating medical image
Yang Deng, Yao Sun, Yongpei Zhu +8
Accurate annotation of medical image is the crucial step for image AI clinical application. However, annotating medical image will incur a great deal of annotation effort and expen…