Short Survey: Adaptive Threshold Methods Used to Segment ImmunonegativeCcells from Simulated Images of Follicular Lymphoma Stained with 3,3'-Diaminobenzidine&Haematoxylin

• Autorzy: Lukasz Roszkowiak , Anna Korzyńska , Dorota Pijanowska
• Języki publikacji: EN

Abstrakty

EN

We perform a short survey of image thresholding methods for very specific task, and assess their performance comparison. We analyse performance of adaptive thresholding methods concerning segmentation of immunonegative cells of follicular lymphoma tissue samples stained with 3,3'- Diaminobenzidine&Haematoxylin. We use artificial images based on experimental images that greatly simulates real samples and simplifies process of evaluation. We chose 8 methods of adaptive threshold segmentation, with different approach. They were applied to 6 different monochromatic images derived from original RGB images, by splitting layers, conversion to Lab colour space and colour deconvolution. Evaluation of the results was performed with basic statistical measures as sensitivity and specificity along with Jaccard's coefficient. We identify the thresholding algorithms with superior performance. Collected results will be used to design the new better method based on this approach. (original abstract)

Słowa kluczowe

EN

Medicine; Cancer

PL

Medycyna; Choroby nowotworowe

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2015
• Tom: 5
• Strony: 291--295

Twórcy

autor

Lukasz Roszkowiak

• Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw

autor

Anna Korzyńska

• Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw

autor

Dorota Pijanowska

• Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw

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Identyfikatory

DOI

10.15439/2015F263