162 citations · 247 across the 11 of their papers we have counts for
4 papers · 1 filter
Mitosis domain generalization in histopathology images -- The MIDOG challenge
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram +32
The density of mitotic figures within tumor tissue is known to be highly correlated with tumor proliferation and thus is an important marker in tumor grading. Recognition of mitoti…
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge
Xi Long, Ying Cheng, Xiao Mu +2
We present a summary of the domain adaptive cascade R-CNN method for mitosis detection of digital histopathology images. By comprehensive data augmentation and adapting existing po…
Pathological Myopic Image Analysis with Transfer Learning
Ruitao Xie, Libo Liu, Jingxin Liu +1
We present a summary of transfer learning based methods for several challenging myopic fundus image analysis tasks including classification of pathological and non-pathological myo…
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou, Hongming Luo, Jingxin Liu +5
Image denoising is the process of removing noise from noisy images, which is an image domain transferring task, i.e., from a single or several noise level domains to a photo-realis…