Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …

This paper summarizes the recent advances in image processing methods for
morphological cell analysis. The topic of morphological analysis has received much …

The visual attributes of cells, such as the nuclear morphology and chromatin openness, are
critical for histopathology image analysis. By learning cell-level visual representation, we …

This paper presents a method that enables automated morphology analysis of partially
overlapping nanoparticles in electron micrographs. In the undertaking of morphology …

Segmentation of partially overlapping objects with a known shape is needed in an
increasing amount of various machine vision applications. This paper presents a method for …

Increasingly, highly multiplexed tissue imaging methods are used to profile protein
expression at the single‐cell level. However, a critical limitation is the lack of robust cell …

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 …

Detecting overlapping blob objects is a classical, yet challenging problem in the image
processing field. In this paper, we propose an automated blob detection method that is able …

The construction uniformity of asphalt mixture has been widely evaluated, but rarely focused
on the surface and internal structure of asphalt pavement simultaneously. To evaluate the …

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 …