Purpose Increasing cancer disease incidence worldwide has become a major public health
issue. Manual histopathological analysis is a common diagnostic method for cancer …

Image segmentation remains to be one of the most vital tasks in the area of computer vision
and more so in the case of medical image processing. Image segmentation quality is the …

Image segmentation is consistently an important task for computer vision and the analysis of
medical images. The analysis and diagnosis of histopathology images by using efficient …

Accurate nuclei segmentation is a critical step for physicians to achieve essential information
about a patient's disease through digital pathology images, enabling an effective diagnosis …

The morphology of the nuclei represents most of the clinical pathological information, and
nuclei segmentation is a vital step in current automated histopathological image analysis …

Nuclei segmentation is a fundamental but challenging task in histopathological image
analysis. One of the main problems is the existence of overlapping regions which increases …

Introduction Automatic nuclear segmentation in digital microscopic tissue images can aid
pathologists to extract high-quality features for nuclear morphometrics and other analyses …

Image segmentation plays an important role in pathology image analysis as the accurate
separation of nuclei or glands is crucial for cancer diagnosis and other clinical analyses. The …

Accurate segmentation of nuclei is an essential step in analysis of digital histology images
for diagnostic and prognostic applications. Despite recent advances in automated …

As a prerequisite for cell detection, cell classification, and cancer grading, nuclei
segmentation in histology images has attracted wide attention in recent years. It is quite a …