The Comparative Assessment of the Quality of Cytological Drugs Image Processing
2020; The World Academy of Research in Science and Engineering; Volume: 9; Issue: 5 Linguagem: Inglês
10.30534/ijatcse/2020/250952020
ISSN2278-3091
AutoresHennadii Khudov, Olesya Symkanych, Anna Kovalenko, Natalia Kabus, Viktor Lysytsya, Rostyslav Khudov,
Tópico(s)Mathematical Biology Tumor Growth
ResumoThe features of cytological images during processing by automated microscopy systems are determined.The essence of the known methods of processing of cytological images used in algorithms of automatic selection and transformation of micro-objects on cytological images is briefly stated.The results of cytological image processing by k-means, Prewitt, Sobel, Canny, Hough methods and combinations of these methods are presented.A comparative visual and quantitative assessment of the quality of cytological image processing was performed.Errors of the first and second kind are selected as indicators of quality of cytological drugs image processing.
Referência(s)