Artificial intelligence

Abstract: Modern approaches to finding image elements are analyzed. An algorithm for searching micro-objects in histological and cytological images using a database is developed. A tiered-parallel form of parallelization of the process of micro-object pattern search is designed. Micro-object pattern search software is implemented. The obtained result show that the operating time of the software module with parallelization speeds up the processing on average by 20% for cytological images .

Keywords: biomedical images, tiered-parallel shape, template matching, cytology, cell nucleus

References:

1. Berezky O.M. Methods, algorithms and software tools for the processing of biomedical images / Berezky O.M., Bat’ko Yu.M., Berezka K.M., Verbovy S.O., Datsko T.V., Dubchak L.O., Ignat'ev I.V., Melnyk G.M., Nikoluk V.D., Pitsun O.Y. - Ternopil: Economic Thought, TNEU, 2017. - 330 p.
2. Zarella M. Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology / M.D. Zarella, Garcia F.,Breen D. // ICBBT '17 Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology. – 2017. – pp. 11-15. doi: 10.1145/3093293.3093307
3. Zarella, M. An optimized color transformation for the analysis of digital images of hematoxylin / M. Zarella, D.Breen, A. Plagov, F. Garcia // Journal of Pathology Informatics, 6(1): 33, 2015.
4. D ́ıaz G. Automatic Clump Splitting for Cell Quantification in Microscopical Images / G. Dıaz, F. Gonzalez, E. Romero // Springer-Verlag Berlin Heidelberg, CIARP 2007, LNCS 4756, pp. 763–772, 2007.
5. Lotfollahi M. Three-dimensional GPU-accelerated active contours for automated localization of cells inlarge images / M. Lotfollahi, S. Berisha, L. Saadatifard, L. Montier, J. Žiburkus, D. Mayerich // PLoS ONE 14(6). https://doi.org/10.1371/journal.pone.0215843
6. Irshad H Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential / H. Irshad, A. Veillard, L. Roux,D. Racoceanu // IEEE reviews in biomedical engineering. 2014; 7:97–114. pmid:24802905
7. Berezsky O. GPU – based biomedical image processing / O. Berezsky, O. Pitsun, L. Dubchak,P. Lyaschynsky // Proceedings of XIV International Conference Perspective Technologies and methods in mems design (MEMSTECH 2018) 18-22 April, 2018, Lviv-Polyana, Ukraine, pp. 96-99.
8. Strakos P. Parallel Implementation of Collaborative Filtering Technique for Denoising of CT Images / P. Strakos, M. Jaros, T. Karasek, T. Kozubek // International Conference on High Performance Computing in Science and Engineering HPCSE2015: High Performance Computing in Science and Engineering. pp. 126-140.
9. Strakos P. Parallelization of the image segmentation algorithm for Intel Xeon Phi with application inmedical imaging. / P. Strakos, M.Jaros, T. Karasek,L. Riha // 4th International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Civil-Comp Press, Stirlingshire (2015).
10. Berezsky O. Intelektualna systema avtomatyzovanoyi mikroskopiyi analizugistologichnych ta cytologichnych zobrazhen /O.M. Berezsky, O.Y. Pitsun, P.B. Lyashhynskyj,G.M. Melnyk // Shtuchnyj intelekt, Kyiv, 2017. #2 (76). C. 128-140.
11. Berezsky O. Modern Automated Microscopy Systems in Oncology / O.M. Berezsky, O. Pitsun,N. Batryn, T. Datsko, K. Berezska, L. Dubchak // Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine, Lviv, Ukraine, 28-30 november 2018. p. 16.
12. Svidotstvo pro reiestratsiiu avtorskoho prava na tvir No75360. Kompiuterna prohrama Intelektualna systema diahnostuvannia peredrakovykh staniv molochnoi zalozy na osnovianalizu histolohichnykh ta tsytolohichnykhzobrazhen "HIAMS". / O.M. Berezkyi,O.Y. Pitsun, H.M. Melnyk, P.B. Liashchynskyi, P.B. Liashchynskyi. Data reiestratsii 14.12.2017.
13. Berezkyi O. Analiz alhorytmiv vydilennia konturiv zobrazhen / O. Berezkyi, Yu. Batko // Visnyk Natsionalnoho universytetu «Lvivska politekhnika». Kompiuterni nauky ta informatsiini tekhnolohii. – 2006. – No 565. – S. 212-216.
14. Berezkyi O.M. Analiz i syntez zobrazhen pukhlynnykh klityn. O.M.Berezkyi // Informatsiini tekhnolohii i systemy. – 2005. – T.8, No 1. – S.76-85.
15. Svidotstvo pro reiestratsiiu avtorskoho prava na tvir No75359. Baza danykh tsyfrovy khhistolohichnykh ta tsytolohichnykh zobrazhen peredrakovykh ta rakovykh staniv molochnoizalozy «BPCI2100». O.M.Berezkyi, H.M. Melnyk, S.O. Verbovyi, O.I. Pitsun, V.D. Nykoliuk, T.V. Datsko. Data reiestratsii 14.12.2017.