A review of current systems for annotation of cell and tissue images in digital pathology

Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists

“…However, the review of the tools is very superficial and biased towards collaborative elements. Some other reviews have addressed applications for a specific task, e.g., in Korzynska et al 58 tools used for cell annotation are analyzed or in Lucas et al 59 different deep-learning software used for segmentation is analyzed.…”

Establishment and characterization of the first Cuvier's Beaked whale (Ziphius cavirostris) in vitro model based on the muscle-derived cell line

“…Cell viability was determined using the Trypan Blue exclusion assay. The mean cell counts at each time point were then used to plot the growth curves, and the population doubling time (PDT) in h was calculated from the obtained growth curve as: N 0 is the number of seeded cells at starting time (time-0); ∆N is the increase in number of cells during the period of time ∆t (time-48 h), [12].…”

Accurate segmentation of nuclear instances using a double-stage neural network

“…Thus it can perform faster than others. Korzynska et al 21 compared NuClick with other pathology image annotation systems from a wide range of perspectives. Among all the studied public histology annotation systems in, 21 NuClick is the only one with a freehand outline method compared with all the others.…”

“…Korzynska et al 21 compared NuClick with other pathology image annotation systems from a wide range of perspectives. Among all the studied public histology annotation systems in, 21 NuClick is the only one with a freehand outline method compared with all the others. However, this kind of interactive method still depends on user input which requires some time to be done, especially when annotating an image containing a large amount of desired nuclei instances.…”