104 citations · 261 across the 17 of their papers we have counts for
4 papers · 1 filter
A Unified Mammogram Analysis Method via Hybrid Deep Supervision
Rongzhao Zhang, Han Zhang, Albert C. S. Chung
Automatic mammogram classification and mass segmentation play a critical role in a computer-aided mammogram screening system. In this work, we present a unified mammogram analysis…
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network
Yongxiang Huang, Albert Chi-shing Chung
Histology imaging is an essential diagnosis method to finalize the grade and stage of cancer of different tissues, especially for breast cancer diagnosis. Specialists often disagre…
Deep supervision with additional labels for retinal vessel segmentation task
Yishuo Zhang, Albert C. S. Chung
Automatic analysis of retinal blood images is of vital importance in diagnosis tasks of retinopathy. Segmenting vessels accurately is a fundamental step in analysing retinal images…
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
Tony C. W Mok, Albert C. S Chung
There is a common belief that the successful training of deep neural networks requires many annotated training samples, which are often expensive and difficult to obtain especially…