8 Result(s)
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Chapter and Conference Paper
CFA-Net: Cross-Level Feature Fusion and Aggregation Network for Salient Object Detection
Salient object detection (SOD) is a research hotspot yet challenging task in computer vision, aiming at locating the most visually distinctive objects in an image. Recently, several deep learning based SOD mod...
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Chapter and Conference Paper
Peripapillary Atrophy Segmentation with Boundary Guidance
Peripapillary atrophy (PPA) is a clinical finding that reflects atrophy of the retinal layer and retinal pigment epithelium. It is very important to segment PPA area as it indicates the progress of eye disease...
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Chapter and Conference Paper
Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks
In this paper, we aim at improving the quality of blurry retinal images that are caused by ocular diseases. The blurry images could affect clinical diagnosis for both ophthalmologists and automatic aided syste...
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Chapter and Conference Paper
Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs
This paper aims to trace retinal blood vessel trees in fundus images. This task is far from being trivial as the crossover of vessels are commonly encountered in image-based vessel networks. Meanwhile it is often...
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Chapter and Conference Paper
Fall Detection with the Optimal Feature Vectors Based on Support Vector Machine
Falls have caused extensive interest of the researchers for it becomes the second largest accidental injury to death in the world. And there are lots of approaches to fall detection at present. However, on acc...
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Chapter and Conference Paper
Automated Tracing of Retinal Blood Vessels Using Graphical Models
As an early indication of diseases including diabetes, hypertension, and retinopathy of prematurity, structural study of retinal vessels becomes increasingly important. These studies have driven the need towar...
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Chapter and Conference Paper
Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation
A novel content-based medical image retrieval method with metric learning via rank correlation is proposed in this paper. A new rank correlation measure is proposed to learn a metric encoding the pairwise simi...
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Chapter and Conference Paper
A Computer-Aided Diagnosis System of Nuclear Cataract via Ranking
A novel computer-aided diagnosis system of nuclear cataract via ranking is firstly proposed in this paper. The grade of nuclear cataract in a slit-lamp image is predicted based on its neighboring labeled image...
