Publications by authors named "Renkai Wu"
Ultra-wide field (UWF) retinal imaging can improve the detection rate of retinal hemorrhage as compared with conventional fundus images. However, hemorrhages in UWF retinal images can also become smaller and more widely distributed, which can be time consuming and labor intensive. With the development of computer technology, automatic segmentation techniques can assist physicians in diagnosis.
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- Computer-aided diagnosis for oral ulcers has lagged due to a shortage of publicly accessible datasets, yet early detection is crucial due to the high mortality associated with cancerous lesions.
- This paper introduces the Autooral dataset, the first publicly available multi-task dataset focused on oral ulcer lesion segmentation and classification.
- The authors propose a new modeling framework, HF-UNet, which utilizes innovative techniques for effective segmentation, achieving a high DSC value of approximately 0.80 while being efficient in memory use.
Stereo matching and instrument segmentation of laparoscopic surgical scenarios are key tasks in robotic surgical automation. Many researchers have been studying the two tasks separately for stereo matching and instrument segmentation. However, the relationship between these two tasks is often neglected.
View Article and Find Full Text PDFThe use of computer-assisted clinical dermatologists to diagnose skin diseases is an important aid. And computer-assisted techniques mainly use deep neural networks. Recently, the proposal of higher-order spatial interaction operations in deep neural networks has attracted a lot of attention.
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