ImageJS: Personalized, participated, pervasive, and reproducible image bioinformatics in the web browser [0.03%]
ImageJS：浏览器中的个性化、参与式、普及型和可重复的图像生物信息学
Jonas S Almeida,Egiebade E Iriabho,Vijaya L Gorrepati et al.
Jonas S Almeida et al.
Background: Image bioinformatics infrastructure typically relies on a combination of server-side high-performance computing and client desktop applications tailored for graphic rendering. On the server side, matrix manipu...
Image microarrays derived from tissue microarrays (IMA-TMA): New resource for computer-aided diagnostic algorithm development [0.03%]
由组织微阵列衍生的图像微阵列（IMA-TMA）：开发计算机辅助诊断算法的新资源
Jennifer A Hipp,Jason D Hipp,Megan Lim et al.
Jennifer A Hipp et al.
Background: Conventional tissue microarrays (TMAs) consist of cores of tissue inserted into a recipient paraffin block such that a tissue section on a single glass slide can contain numerous patient samples in a spatially...
The feasibility of using natural language processing to extract clinical information from breast pathology reports [0.03%]
自然语言处理技术提取乳腺病理报告中临床信息的可行性研究
Julliette M Buckley,Suzanne B Coopey,John Sharko et al.
Julliette M Buckley et al.
Objective: The opportunity to integrate clinical decision support systems into clinical practice is limited due to the lack of structured, machine readable data in the current format of the electronic health record. Natur...
Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment [0.03%]
用于射频消融治疗评估的二维组织切片和三维CT图像配准互动研究
Matthias Seise,Tuomas Alhonnoro,Marina Kolesnik
Matthias Seise
Histological investigation of a lesion induced by radiofrequency ablation (RFA) treatment provides ground-truth about the true lesion size, thus verifying the success or failure of the RFA treatment. This work presents a framework for regis...
Global error minimization in image mosaicing using graph connectivity and its applications in microscopy [0.03%]
基于图连通性的图像马赛克全局误差最小化及其在显微技术中的应用
Parmeshwar Khurd,Leo Grady,Rafiou Oketokoun et al.
Parmeshwar Khurd et al.
Several applications such as multiprojector displays and microscopy require the mosaicing of images (tiles) acquired by a camera as it traverses an unknown trajectory in 3D space. A homography relates the image coordinates of a point in eac...
Xi Qiu,Lin Shi,Tony Pridmore et al.
Xi Qiu et al.
Histological tissue preparation stages (e.g., cutting, sectioning, etc.) often introduce tissue distortions that prevent a smooth 3D reconstruction from being built. In this paper, we propose a method to correct histology distortions by run...
Feasibility analysis of high resolution tissue image registration using 3-D synthetic data [0.03%]
基于三维合成数据的高分辨率组织图像配准可行性分析
Yachna Sharma,Richard A Moffitt,Todd H Stokes et al.
Yachna Sharma et al.
Background: Registration of high-resolution tissue images is a critical step in the 3D analysis of protein expression. Because the distance between images (~4-5μm thickness of a tissue section) is nearly the size of the ...
A fully automated approach to prostate biopsy segmentation based on level-set and mean filtering [0.03%]
基于水平集和平均滤波的全自动前列腺活检图像分割方法
Juan Vidal,Gloria Bueno,John Galeotti et al.
Juan Vidal et al.
With modern automated microscopes and digital cameras, pathologists no longer have to examine samples looking through microscope binoculars. Instead, the slide is digitized to an image, which can then be examined on a screen. This creates t...
Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization [0.03%]
基于非负矩阵分解潜话题模型的组织学图像自动标注方法
Angel Cruz-Roa,Gloria Díaz,Eduardo Romero et al.
Angel Cruz-Roa et al.
Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem. This paper presents a new metho...
Kien Nguyen,Anil K Jain,Bikash Sabata
Kien Nguyen
A computer-assisted system for histological prostate cancer diagnosis can assist pathologists in two stages: (i) to locate cancer regions in a large digitized tissue biopsy, and (ii) to assign Gleason grades to the regions detected in stage...