6 citations · 6 across the 4 of their papers we have counts for
4 papers
NuNext: Reframing Nucleus Detection as Next-Point Detection
Zhongyi Shui, Honglin Li, Xiaozhong Ji +7
Nucleus detection in histopathology is pivotal for a wide range of clinical applications. Existing approaches either regress nuclear proxy maps that require complex post-processing…
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
Kai Yao, Kaizhu Huang, Jie Sun +1
We consider unsupervised cell nuclei segmentation in this paper. Exploiting the recently-proposed unpaired image-to-image translation between cell nuclei images and randomly synthe…
A DCNN-based Arbitrarily-Oriented Object Detector for Quality Control and Inspection Application
Kai Yao, Alberto Ortiz, Francisco Bonnin-Pascual
Following the success of machine vision systems for on-line automated quality control and inspection processes, an object recognition solution is presented in this work for two dif…
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection
Kai Yao, Alberto Ortiz, Francisco Bonnin-Pascual
It is generally accepted that one of the critical parts of current vision algorithms based on deep learning and convolutional neural networks is the annotation of a sufficient numb…