80 citations · 91 across the 5 of their papers we have counts for
5 papers
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…
Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge
Chia-Yen Lee, Hsiang-Chin Chien, Ching-Ping Wang +3
Colorectal cancer is one of the most common cancers worldwide, so early pathological examination is very important. However, it is time-consuming and labor-intensive to identify th…
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Huihui Fang, Fei Li, Huazhu Fu +28
Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…
Learning to Detect Fake Face Images in the Wild
Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang
Although Generative Adversarial Network (GAN) can be used to generate the realistic image, improper use of these technologies brings hidden concerns. For example, GAN can be used t…
An Iterative Refinement Approach for Social Media Headline Prediction
Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao +7
In this study, we propose a novel iterative refinement approach to predict the popularity score of the social media meta-data effectively. With the rapid growth of the social media…