3MNet: Multi-task, multi-level and multi-channel feature aggregation network for salient object detection [0.03%]
3MNet：用于显著目标检测的多任务、多层次和多通道特征聚合网络
Xinghe Yan,Zhenxue Chen,Q M Jonathan Wu et al.
Xinghe Yan et al.
Salient object detection is a hot spot of current computer vision. The emergence of the convolutional neural network (CNN) greatly improves the existing detection methods. In this paper, we present 3MNet, which is based on the CNN, to make ...
A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis [0.03%]
一种五层深度卷积神经网络（含随机池化），用于基于胸部CT的COVID-19诊断
Yu-Dong Zhang,Suresh Chandra Satapathy,Shuaiqi Liu et al.
Yu-Dong Zhang et al.
Till August 17, 2020, COVID-19 has caused 21.59 million confirmed cases in more than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect COVID-19. This study proposed a novel deep learning model that ca...
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19 [0.03%]
深度学习在肺部医学影像中的应用：关于新冠肺炎的最新进展和见解
Hanan Farhat,George E Sakr,Rima Kilany
Hanan Farhat
Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend. Likewise, deep learning applications (DL) on pulmonary medical ima...
Image-based search and retrieval for biface artefacts using features capturing archaeologically significant characteristics [0.03%]
基于图像的搜索和检索史前刮削器遗物的方法及其考古学意义特征提取
Mark Eramian,Ekta Walia,Christopher Power et al.
Mark Eramian et al.
Archaeologists are currently producing huge numbers of digitized photographs to record and preserve artefact finds. These images are used to identify and categorize artefacts and reason about connections between artefacts and perform outrea...
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition [0.03%]
基于窗口和重建的动态模式分解的DCE-MRI运动矫正方法研究
Santosh Tirunagari,Norman Poh,Kevin Wells et al.
Santosh Tirunagari et al.
Images of the kidneys using dynamic contrast-enhanced magnetic resonance renography (DCE-MRR) contains unwanted complex organ motion due to respiration. This gives rise to motion artefacts that hinder the clinical assessment of kidney funct...
Towards infield, live plant phenotyping using a reduced-parameter CNN [0.03%]
一种基于轻量级CNN的作物表型信息获取方法研究
John Atanbori,Andrew P French,Tony P Pridmore
John Atanbori
There is an increase in consumption of agricultural produce as a result of the rapidly growing human population, particularly in developing nations. This has triggered high-quality plant phenotyping research to help with the breeding of hig...
Improved deep learning-based macromolecules structure classification from electron cryo-tomograms [0.03%]
基于深度学习的冷冻电镜断层扫描数据中的大分子结构分类方法
Chengqian Che,Ruogu Lin,Xiangrui Zeng et al.
Chengqian Che et al.
Cellular processes are governed by macromolecular complexes inside the cell. Study of the native structures of macromolecular complexes has been extremely difficult due to lack of data. With recent breakthroughs in Cellular Electron Cryo-To...
Yong Wang,Wei Shi,Shandong Wu
Yong Wang
Visual object tracking is a key factor for unmanned aerial vehicles (UAVs). In this paper, we propose a robust and effective visual object tracking method with an appearance model based on the locally adaptive regression kernel (LARK). The ...
An efficient and robust hybrid method for segmentation of zebrafish objects from bright-field microscope images [0.03%]
一种高效且鲁棒的分割技术：从明场显微图像中分割斑马鱼对象
Yuanhao Guo,Zhan Xiong,Fons J Verbeek
Yuanhao Guo
Accurate segmentation of zebrafish from bright-field microscope images is crucial to many applications in the life sciences. Early zebrafish stages are used, and in these stages the zebrafish is partially transparent. This transparency lead...
Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over time [0.03%]
基于时间对比度增强的时空分析：用于动态乳腺MRI中微小病灶分类（无需精确诊疗分割）
Mahesh B Nagarajan,Markus B Huber,Thomas Schlossbauer et al.
Mahesh B Nagarajan et al.
Characterizing the dignity of breast lesions as benign or malignant is specifically difficult for small lesions; they don't exhibit typical characteristics of malignancy and are harder to segment since margins are harder to visualize. Previ...