11 Result(s)
within
Huiqi Li
Computer Science
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Article
Automatic diagnosis of myopic maculopathy using continuous severity ranking labels
Clinical lesions progress continuously but previous grading strategies are not fine-grained enough to model the continuously changing features of lesions. For lack of temporal sequential medical data to provid...
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Chapter and Conference Paper
AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images
Pulmonary embolism (PE) is life-threatening and computed tomography pulmonary angiography (CTPA) is the best diagnostic techniques in clinics. However, PEs usually appear as dark spots among the bright regions...
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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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Article
An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds
The Cloud workflow scheduling is to find proper Cloud resources for the execution of workflow tasks to efficiently utilize resources and meet different user’s quality of service requirements. Cloud workflow sc...
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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...
