Comparing Deep Learning Performance for Chronic Lymphocytic Leukaemia Cell Segmentation in Brightfield Microscopy Images DOI Creative Commons
Markéta Vašinková,

Vít Doleží,

Michal Vašínek

и другие.

Bioinformatics and Biology Insights, Год журнала: 2024, Номер 18

Опубликована: Янв. 1, 2024

This article focuses on the detection of cells in low-contrast brightfield microscopy images; our case, it is chronic lymphocytic leukaemia cells. The automatic from time-lapse microscopic images brings new opportunities cell morphology and migration studies; to achieve desired results, advisable use state-of-the-art image segmentation methods that not only detect but also its boundaries with highest possible accuracy, thus defining shape dimensions.

Язык: Английский

Comparing Deep Learning Performance for Chronic Lymphocytic Leukaemia Cell Segmentation in Brightfield Microscopy Images DOI Creative Commons
Markéta Vašinková,

Vít Doleží,

Michal Vašínek

и другие.

Bioinformatics and Biology Insights, Год журнала: 2024, Номер 18

Опубликована: Янв. 1, 2024

This article focuses on the detection of cells in low-contrast brightfield microscopy images; our case, it is chronic lymphocytic leukaemia cells. The automatic from time-lapse microscopic images brings new opportunities cell morphology and migration studies; to achieve desired results, advisable use state-of-the-art image segmentation methods that not only detect but also its boundaries with highest possible accuracy, thus defining shape dimensions.

Язык: Английский

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