A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

MaReIA: a cloud MapReduce based high performance whole slide image analysis framework

H Vo, J Kong, D Teng, Y Liang, A Aji, G Teodoro… - Distributed and parallel …, 2019 - Springer
Recent advancements in systematic analysis of high resolution whole slide images have
increase efficiency of diagnosis, prognosis and prediction of cancer and important diseases …

Contributions to high-performance big data computing

G Fox, J Qiu, D Crandall… - Future Trends of …, 2019 - ebooks.iospress.nl
Our project is at the interface of Big Data and HPC–High-Performance Big Data computing
and this paper describes a collaboration between 7 collaborating Universities at Arizona …

Effective nuclei segmentation with sparse shape prior and dynamic occlusion constraint for glioblastoma pathology images

P Zhang, F Wang, G Teodoro, Y Liang… - Journal of Medical …, 2019 - spiedigitallibrary.org
We propose a segmentation method for nuclei in glioblastoma histopathologic images
based on a sparse shape prior guided variational level set framework. By spectral clustering …

[PDF][PDF] Contributions to High-Performance big data computing

O Beckstein, G Fox, J Qiu, D Crandall… - … report, Digital Science …, 2018 - academia.edu
Our project is at the interface of Big Data and HPC--High-Performance Big Data computing
and this paper describes a collaboration between 7 collaborating Universities at Arizona …

Application and performance optimization of MapReduce model in image segmentation

M Li, L Meng, J Wang, Y **, B Hu, Y Chen - IEEE Access, 2019 - ieeexplore.ieee.org
With the increase of glass detection speed, some defects of MapReduce distributed
computing framework are exposed, and the processing speed and timeliness cannot meet …

Ajuste automático de parâmetros para aplicações de segmentação nuclear em imagens médicas

LFR Taveira - 2017 - rlbea.unb.br
Imagens em alta resolução de microscopia são muito importantes no estudo de doenças em
níveis celulares e sub-celulares. Os efeitos causados por muitas doenças, como o câncer …

Integrative Image and Spatial Analytics for Three-Dimensional Digital Pathology

Y Liang - 2017 - search.proquest.com
Abstract 3D digital pathology provides extreme scale quantitative data with high potential for
basic research in a wide scope, and becomes an emerging technology promising to support …