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cs.CV2024
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
Ziyuan Ding, Yixiong Liang, Shichao Kan +1
High resolution is crucial for precise segmentation in fundus images, yet handling high-resolution inputs incurs considerable GPU memory costs, with diminishing performance gains a…
cs.CV2020
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
Qing Liu, Haotian Liu, Yixiong Liang
Automated segmentation of hard exudates in colour fundus images is a challenge task due to issues of extreme class imbalance and enormous size variation. This paper aims to tackle…
cs.CV2018
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario
Yixiong Liang, Zhihong Tang, Meng Yan +3
Automated detection of cervical cancer cells or cell clumps has the potential to significantly reduce error rate and increase productivity in cervical cancer screening. However, mo…