Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation [0.03%]
基于多特征的宫颈上皮内瘤变分类评估基准体系
Tao Xu,Han Zhang,Cheng Xin et al.
Tao Xu et al.
Cervical cancer is one of the most common types of cancer in women worldwide. Most deaths due to the disease occur in less developed areas of the world. In this work, we introduce a new image dataset along with expert annotated diagnoses fo...
Joint volumetric extraction and enhancement of vasculature from low-SNR 3-D fluorescence microscopy images [0.03%]
基于低信噪比三维荧光显微图像的联合血管体积提取与增强算法
Sepideh Almasi,Ayal Ben-Zvi,Baptiste Lacoste et al.
Sepideh Almasi et al.
To simultaneously overcome the challenges imposed by the nature of optical imaging characterized by a range of artifacts including space-varying signal to noise ratio (SNR), scattered light, and non-uniform illumination, we developed a nove...
Meng Lu,Jianhua Z Huang,Xiaoning Qian
Meng Lu
We propose a Sparse exponential family Principal Component Analysis (SePCA) method suitable for any type of data following exponential family distributions, to achieve simultaneous dimension reduction and variable selection for better inter...
Chen Zu,Zhengxia Wang,Daoqiang Zhang et al.
Chen Zu et al.
Recently, multi-atlas patch-based label fusion has achieved many successes in medical imaging area. The basic assumption in the current state-of-the-art approaches is that the image patch at the target image point can be represented by a pa...
Cross-domain, soft-partition clustering with diversity measure and knowledge reference [0.03%]
基于多样性测度和知识参考的跨域软聚类方法
Pengjiang Qian,Shouwei Sun,Yizhang Jiang et al.
Pengjiang Qian et al.
Conventional, soft-partition clustering approaches, such as fuzzy c-means (FCM), maximum entropy clustering (MEC) and fuzzy clustering by quadratic regularization (FC-QR), are usually incompetent in those situations where the data are quite...
A continuous linear optimal transport approach for pattern analysis in image datasets [0.03%]
图像数据集中的连续线性最优传输模式分析方法
Soheil Kolouri,Akif B Tosun,John A Ozolek et al.
Soheil Kolouri et al.
We present a new approach to facilitate the application of the optimal transport metric to pattern recognition on image databases. The method is based on a linearized version of the optimal transport metric, which provides a linear embeddin...
Classifier Design Given an Uncertainty Class of Feature Distributions via Regularized Maximum Likelihood and the Incorporation of Biological Pathway Knowledge in Steady-State Phenotype Classification [0.03%]
基于特征分布不确定类的分类器设计及稳态表型分类中的生物通路知识融合
Mohammad Shahrokh Esfahani,Jason Knight,Amin Zollanvari et al.
Mohammad Shahrokh Esfahani et al.
Contemporary high-throughput technologies provide measurements of very large numbers of variables but often with very small sample sizes. This paper proposes an optimization-based paradigm for utilizing prior knowledge to design better perf...
A scale- and orientation-adaptive extension of Local Binary Patterns for texture classification [0.03%]
用于纹理分类的局部二值模式的尺度和方向自适应扩展方法
Sebastian Hegenbart,Andreas Uhl
Sebastian Hegenbart
Local Binary Patterns (LBPs) have been used in a wide range of texture classification scenarios and have proven to provide a highly discriminative feature representation. A major limitation of LBP is its sensitivity to affine transformation...
Cross-trees, Edge and Superpixel Priors-based Cost aggregation for Stereo matching [0.03%]
交叉树、边缘和超像素先验用于立体匹配的成本聚集
Feiyang Cheng,Hong Zhang,Mingui Sun et al.
Feiyang Cheng et al.
In this paper, we propose a novel cross-trees structure to perform the nonlocal cost aggregation strategy, and the cross-trees structure consists of a horizontal-tree and a vertical-tree. Compared to other spanning trees, the significant su...
Coupled Segmentation of Nuclear and Membrane-bound Macromolecules through Voting and Multiphase Level Set [0.03%]
基于投票和多相水平集的细胞核与膜结合大分子耦合分割方法
Hang Chang,Quan Wen,Bahram Parvin
Hang Chang
Membrane-bound macromolecules play an important role in tissue architecture and cell-cell communication, and is regulated by almost one-third of the genome. At the optical scale, one group of membrane proteins expresses themselves as linear...