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An automatic learning-based framework for robust nucleus segmentation
F ** cells in histopathology specimens using parallel seed detection and repulsive level set
X Qi, F ** cells/nuclei in microscopy images
In this paper, we propose a novel contour-seed pairs learning-based framework for robust
and automated cell/nucleus segmentation. Automated granular object segmentation in …
and automated cell/nucleus segmentation. Automated granular object segmentation in …
[HTML][HTML] Isolation and two-step classification of normal white blood cells in peripheral blood smears
N Ramesh, B Dangott, ME Salama… - Journal of pathology …, 2012 - Elsevier
Introduction: An automated system for differential white blood cell (WBC) counting based on
morphology can make manual differential leukocyte counts faster and less tedious for …
morphology can make manual differential leukocyte counts faster and less tedious for …
Attributed relational graphs for cell nucleus segmentation in fluorescence microscopy images
More rapid and accurate high-throughput screening in molecular cellular biology research
has become possible with the development of automated microscopy imaging, for which cell …
has become possible with the development of automated microscopy imaging, for which cell …
Digital pathology: Data-intensive frontier in medical imaging
Pathology is a medical subspecialty that practices the diagnosis of disease. Microscopic
examination of tissue reveals information enabling the pathologist to render accurate …
examination of tissue reveals information enabling the pathologist to render accurate …