A5089234027- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Digital Imaging for Blood Diseases
- Educational Reforms and Innovations
- COVID-19 diagnosis using AI
- Innovative Educational Techniques
- Medical Imaging and Analysis
- Retinal and Optic Conditions
Changchun Normal University
2021-2025
Due to the inherent imaging characteristics of Optical Coherence Tomography (OCT), contrast between choroid and sclera is low, presenting significant challenges in choroidal segmentation, such as subchoroidal boundary blurring difficulty accurate delineation. To address these issues, this paper proposes an automatic segmentation network, termed Boundary Enhancement Net (BENet), which enhances information facilitate precise recognition achieve end-to-end segmentation. BENet constructed on...
The difficulty of classifying retinal fundus images with one or more illnesses present missing is known as multi-lesion classification. challenges faced by current approaches include the inability to extract comparable morphological features from different lesions and resolve issue same lesion, which presents significant feature variances due grading disparities. This paper proposes a multi-disease recognition network model, Fundus-DANet, based on dilated convolution. It has two sub-modules...
With the advent of "Internet +" era, national demand for quality innovative and compound professional talents is increasing. Affected by epidemic, online teaching Secondary vocational reform imperative. As core course computer software technology major in secondary schools, "Data Structure" has a strong theoretical practical nature, knowledge structure discipline highly comprehensive. Combined with characteristics comprehensive needs, this paper proposes SPOC (Small Private Online Course)...