Nuclear segmentation and classification within Haematoxylin & Eosin stained histology
images is a fundamental prerequisite in the digital pathology work-flow. The development of …

Malaria parasitemia diagnosis and grading is hard and still far from perfection. Inaccurate
diagnosis and grading has caused tremendous deaths rate particularly in young children …

Local binarization methods deal with the separation of foreground objects (textual content)
and background noise (non-text) specifically at the pixel level. This is a much-explored field …

Nuclei instance segmentation and classification in histology plays a major role in routine
pathology image examination, which enable morphological features analysis that further …

To segment the overlapping cells in microscopic images, an automatic method for cell image
segmentation based on bottleneck detection and ellipse fitting is proposed. Firstly, cell …

Quantifying how the cellular composition of brain regions vary across development, aging,
sex, and disease, is crucial in experimental neuroscience, and the accuracy of different …

Nuclei instance segmentation is an integral step in digital pathology workflow as it is a
prerequisite for most downstream tasks such as patient survival analysis, precision …

Splitting the rouleaux RBCs from single RBCs and its further subdivision is a challenging
area in computer‐assisted diagnosis of blood. This phenomenon is applied in complete …

To measure the activity of neurons using whole-brain activity imaging, precise detection of
each neuron or its nucleus is required. In the head region of the nematode C. elegans, the …

Nuclei segmentation in whole slide images (WSIs) stained with Hematoxylin and Eosin
(H&E) dye, is a key step in computational pathology which aims to automate the laborious …