5 papers
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
Ha-Hieu Pham, Nguyen Lan Vi Vu, Thanh-Huy Nguyen +4
Accurate gland segmentation in histopathology images is essential for cancer diagnosis and prognosis. However, significant variability in Hematoxylin and Eosin (H&E) staining and t…
Zero-shot Object Counting
Jingyi Xu, Hieu Le, Vu Nguyen +2
Class-agnostic object counting aims to count object instances of an arbitrary class at test time. It is challenging but also enables many potential applications. Current methods re…
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
Hieu Le, Tomas F. Yago Vicente, Vu Nguyen +2
We propose a novel GAN-based framework for detecting shadows in images, in which a shadow detection network (D-Net) is trained together with a shadow attenuation network (A-Net) th…
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
Le Hou, Vu Nguyen, Dimitris Samaras +4
Histopathology images are crucial to the study of complex diseases such as cancer. The histologic characteristics of nuclei play a key role in disease diagnosis, prognosis and anal…
Geodesic Distance Histogram Feature for Video Segmentation
Hieu Le, Vu Nguyen, Chen-Ping Yu +1
This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms. The feature is a joint histogram of intensity and…