19 Result(s)
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Chapter and Conference Paper
IoU-Enhanced Attention for End-to-End Task Specific Object Detection
Without densely tiled anchor boxes or grid points in the image, sparse R-CNN achieves promising results through a set of object queries and proposal boxes updated in the cascaded training manner. However, due ...
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Chapter and Conference Paper
Cross Attention Based Style Distribution for Controllable Person Image Synthesis
Controllable person image synthesis task enables a wide range of applications through explicit control over body pose and appearance. In this paper, we propose a cross attention based style distribution module...
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Chapter and Conference Paper
Blind Perceptual Quality Assessment for Single Image Motion Deblurring
Single image deblurring is a typical ill-posed problem. Although a lot of effective algorithms have been proposed, there is a lack of blind evaluation metrics for the perceptual quality of deblurred images. In...
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Chapter and Conference Paper
Automatic Detection of Obstructive Sleep Apnea Based on Multimodal Imaging System and Binary Code Alignment
There are many patients with obstructive sleep apnea syndrome, which has caused concern. When it occurs, the nasal airflow disappears, and the breathing action of the chest and abdomen still exists. Therefore,...
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Chapter and Conference Paper
Hidden Human Target Detection Model Inspired by Physiological Signals
The current object detection algorithms will give unsatisfactory performance on the task of detecting hidden human targets. Therefore, in the current work, we propose a physiological signals powered hidden hum...
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Chapter and Conference Paper
A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification
In the practical application of medical image analysis, due to the different data distributions of source domain and target domain and the lack of the labels of target domain, domain adaptation for unsupervise...
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Article
Manifold ranking graph regularization non-negative matrix factorization with global and local structures
Non-negative matrix factorization (NMF) is a recently popularized technique for learning parts-based, linear representations of non-negative data. Although the decomposition rate of NMF is very fast, it still ...
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Chapter and Conference Paper
PMIQD 2019: A Pathological Microscopic Image Quality Database with Nonexpert and Expert Scores
In medical diagnostic analysis, pathological microscopic image is often regarded as a gold standard, and hence the study of pathological microscopic image is of great necessity. High quality microscopic pathol...
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Chapter and Conference Paper
Preliminary Study on Visual Attention Maps of Experts and Nonexperts When Examining Pathological Microscopic Images
Pathological microscopic image is regarded as a gold standard for the diagnosis of disease, and eye tracking technology is considered as a very effective tool for medical education. It will be very interesting...
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Chapter and Conference Paper
FetusMap: Fetal Pose Estimation in 3D Ultrasound
The 3D ultrasound (US) entrance inspires a multitude of automated prenatal examinations. However, studies about the structuralized description of the whole fetus in 3D US are still rare. In this paper, we prop...
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Chapter and Conference Paper
Age Estimation by Refining Label Distribution in Deep CNN
This paper proposes an age estimation algorithm by refining the label distribution in a deep learning framework. There are two tasks during the training period of our algorithm. The first one finds the optimal...
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Chapter and Conference Paper
Towards Automatic Semantic Segmentation in Volumetric Ultrasound
3D ultrasound is rapidly emerging as a viable imaging modality for routine prenatal examinations. However, lacking of efficient tools to decompose the volumetric data greatly limits its widespread. In this pap...
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Chapter and Conference Paper
Hyperspectral Image Classification Based on Empirical Mode Decomposition and Local Binary Pattern
Traditional hyperspectral image classification methods always focused on spectral information, and lots of spatial information was neglected. Therefore, this paper introduces the spatial texture information in...
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Chapter and Conference Paper
A New Method of Object Saliency Detection in Foggy Images
Aiming to saliency detection problem of degraded foggy images, a new method of object saliency detection method in foggy images based on region covariance matrix is presented. In the method, color, direction a...
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Chapter and Conference Paper
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
Accurate acquisition of fetal ultrasound (US) standard planes is one of the most crucial steps in obstetric diagnosis. The conventional way of standard plane acquisition requires a thorough knowledge of fetal ...
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Chapter and Conference Paper
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
Acquisition of the fetal abdominal standard plane (FASP) is crucial for prenatal ultrasound diagnosis. However, it requires a thorough knowledge of human anatomy and substantial experience. In this paper, we p...
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Chapter and Conference Paper
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound
We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning bas...
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Chapter and Conference Paper
Research on Quality Improvement of Polarization Imaging in Foggy Conditions
A new method was presented to improve quality of polarization imaging in foggy weather. In this method, two state-of-art algorithms were used to defog three polarization direction images by polarization imagin...
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Chapter and Conference Paper
Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image
Nowadays, multiple classifier system is widely used for land cover classification by remote sensing imagery. The performance of combined classifier is closely related to the selection of member classifiers, so...
