[HTML][HTML] Imalytics preclinical: interactive analysis of biomedical volume data

F Gremse, M Stärk, J Ehling, JR Menzel, T Lammers… - Theranostics, 2016 - ncbi.nlm.nih.gov
A software tool is presented for interactive segmentation of volumetric medical data sets. To
allow interactive processing of large data sets, segmentation operations, and rendering are …

Cell image segmentation based on an improved watershed algorithm

X Ji, Y Li, J Cheng, Y Yu, M Wang - 2015 8th International …, 2015 - ieeexplore.ieee.org
The cell image segmentation has very high practical significance in medical diagnosis. But
the cell image has the problems of accretive cells, incoherent cell boundary, and the internal …

[PDF][PDF] Implementation of a distributed genetic algorithm for parameter optimization in a cell nuclei detection project

S Szénási, Z Vámossy - Acta Polytechnica Hungarica, 2013 - epa.niif.hu
The processing of microscopic tissue images and especially the detection of cell nuclei is
nowadays done more and more using digital imagery and special immunodiagnostic …

Evaluation and comparison of cell nuclei detection algorithms

S Szénási, Z Vámossy… - 2012 IEEE 16th …, 2012 - ieeexplore.ieee.org
The processing of microscopic tissue images and especially the detection of cell nuclei is
nowadays done more and more using digital imagery and special immunodiagnostic …

[PDF][PDF] Distributed region growing algorithm for medical image segmentation

S Szénási - International Journal of Circuits, Systems and Signal …, 2014 - researchgate.net
Signal processing plays an important role in the work of pathologists; it is especially true for
image processing software products. High-resolution digital images have taken over the role …

[PDF][PDF] Evolutionary algorithm for optimizing parameters of GPGPU-based image segmentation

S Szénási, Z Vámossy - Acta Polytechnica Hungarica, 2013 - academia.edu
The use of digital microscopy allows diagnosis through automated quantitative and
qualitative analysis of the digital images. Often to evaluate the samples, the first step is …

Segmentation of colon tissue sample images using multiple graphics accelerators

S Szénási - Computers in biology and medicine, 2014 - Elsevier
Nowadays, processing medical images is increasingly done through using digital imagery
and custom software solutions. The distributed algorithm presented in this paper is used to …

Image segmentation using thresholding for cell nuclei detection of colon tissue

AA Nawandhar, L Yamujala… - … Conference on Advances …, 2015 - ieeexplore.ieee.org
In this paper, image segmentation process using thresholding technique is discussed. We
focus our study for nuclei detection of Hematoxilin Eosin (HE) stained colon tissue for the …

Colon cancer diagnosis on digital tissue images

Z Kerekes, Z Tóth, S Szénási… - 2013 IEEE 9th …, 2013 - ieeexplore.ieee.org
The purpose of this project is to develop a software which can be an aid for difficult colon
cancer diagnosis and using this system the patients can be helped with an early diagnosis …

Blood cell image classification based on image segmentation preprocessing and CapsNet network model

X Zhang, S Zhao - Journal of Medical Imaging and Health …, 2019 - ingentaconnect.com
The identification and examination of peripheral white blood cells can help Department of
Hematology doctors diagnose AIDS, leukemia and blood cancer and other diseases …