Automated cell nucleus segmentation is the key to gain further insight into cell features and
functionality which support computer-aided pathology in early diagnosis of diseases such as …

The anatomy of red blood cells (RBCs) in blood smear images plays an important role in the
detection of several diseases. The automated image-based technique is fast and accurate …

Segmentation and overlapped cells separation are important phases in microscopic image
processing of breast cancer, because the accuracy of overlapped cells separation result …

Pathology experts usually analyze digital versions of biopsy samples captured using digital
microscope. Histopathological images contain adequate phenotypic information. Therefore …

Ability to clearly delineate the nuclei of microscopic cancer cells is crucial to the accuracy
and efficiency of image-based approaches to cancer diagnosis and treatment. Oftentimes …

Computer-aided image analysis is a vital means in modern medicine assisting scientists and
clinicians by providing valuable information through imaging techniques such as X-ray …

Lung cancer is the leading cause of cancer-associated death worldwide. To improve clinical
management, biological discovery underlying disease pathogenesis and improved …

Clustering is commonly technique for image segmentation, however determining an
appropriate number of clusters is still challenging. Due to nuclei variation of size and shape …

The main purpose of image segmentation using active contours is to extract the object of
interest in images based on textural or boundary information. Active contour methods have …