2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2024
A General Pipeline for Glomerulus Whole-Slide Image Segmentation
Quan Huu Cap
Whole-slide images (WSI) glomerulus segmentation is essential for accurately diagnosing kidney diseases. In this work, we propose a general and practical pipeline for glomerulus se…
cs.CV2023
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada +3
With rich annotation information, object detection-based automated plant disease diagnosis systems (e.g., YOLO-based systems) often provide advantages over classification-based sys…
eess.IV2023★ 2 cited
A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement
Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
Medical images are extremely valuable for supporting medical diagnoses. However, in practice, low-quality (LQ) medical images, such as images that are hazy/blurry, have uneven illu…