Localization and recognition of leukocytes in peripheral blood: A deep learning approach
MR Reena, PM Ameer - Computers in Biology and Medicine, 2020 - Elsevier
Automatic recognition and classification of leukocytes helps medical practitioners to
diagnose various blood-related diseases by analysing their percentages. Different …
diagnose various blood-related diseases by analysing their percentages. Different …
A review of current systems for annotation of cell and tissue images in digital pathology
A Korzynska, L Roszkowiak, J Zak, K Siemion - Biocybernetics and …, 2021 - Elsevier
With the advent and great advances of methods based on deep learning in image analysis,
it appears that they can be effective in digital pathology to support the work of pathologists …
it appears that they can be effective in digital pathology to support the work of pathologists …
A novel approach for segmentation and counting of overlapped leukocytes in microscopic blood images
Leukocytes count in the blood smear images plays an important role in identifying the
overall health of the patient. The major steps involved in leukocytes counting system are …
overall health of the patient. The major steps involved in leukocytes counting system are …
System for quantitative evaluation of DAB&H-stained breast cancer biopsy digital images (CHISEL)
L Roszkowiak, A Korzynska, K Siemion, J Zak… - Scientific Reports, 2021 - nature.com
This study presents CHISEL (Computer-assisted Histopathological Image Segmentation and
EvaLuation), an end-to-end system capable of quantitative evaluation of benign and …
EvaLuation), an end-to-end system capable of quantitative evaluation of benign and …
[HTML][HTML] Protocol to study oxygen dynamics in the in vivo mouse brain using bioluminescence microscopy
Bioluminescence imaging (BLI) relies on the biochemical reaction between substrate and
enzyme that triggers light emission upon convergence. Here, we present a protocol to study …
enzyme that triggers light emission upon convergence. Here, we present a protocol to study …
Computer analysis of histopathological images for tumor grading
W Klonowski, A Korzynska… - Physiological …, 2018 - iopscience.iop.org
Objective: We developed a new method that enables automatic and rapid assessment of a
tumor's proliferation index from immunohistochemically (IHC) stained microscopic images …
tumor's proliferation index from immunohistochemically (IHC) stained microscopic images …
Artificial intelligence classifies and predicts the outcome of primary CNS and nodal large B-cell lymphomas
A Alentorn, N Barillot, IH Verdin, LR de la Rosa… - 2023 - researchsquare.com
Abstract Primary Central Nervous System Lymphoma (PCNSL) is a particular extra-nodal
subtype of large B-cell lymphoma (LBCL) with dismal prognosis. We propose a novel …
subtype of large B-cell lymphoma (LBCL) with dismal prognosis. We propose a novel …
A novel pre-processing approach based on colour space assessment for digestive neuroendocrine tumour grading in immunohistochemical tissue images
H Rmili, A Mouelhi, B Solaiman, R Doghri… - Polish Journal of …, 2022 - termedia.pl
Results The performance of the algorithms for nucleus segmentation is evaluated according
to both the object-level and pixel-level criteria. Our approach increases segmentation …
to both the object-level and pixel-level criteria. Our approach increases segmentation …
Computer analysis of histopathological images for tumor grading. 2
W Klonowski, A Korzynska… - Physiological …, 2019 - iopscience.iop.org
Objective: We have upgraded our own original color filtration pixel-by-pixel (CFPP) method
(Klonowski et al 2018a Physiol. Meas. 39 034002) to enable not only automatic and rapid …
(Klonowski et al 2018a Physiol. Meas. 39 034002) to enable not only automatic and rapid …