Karyotyping is of importance for detecting chromosomal aberrations in human disease.
However, chromosomes easily appear curved in microscopic images, which prevents …

In the field of plasma cell disorders diagnosis, the detection of abnormal monoclonal (M)
proteins through Immunofixation Electrophoresis (IFE) is a widely accepted practice …

Whole slide images are the foundation of digital pathology for the diagnosis and treatment of
carcinomas. Writing pathology reports is laborious and error-prone for inexperienced …

Aims This study aimed to develop an AI algorithm for automated HER2 scoring in urothelial
bladder cancer (UBCa) and assess the interobserver agreement using both manual and AI …

Point-based cell detection (PCD), which pursues high-performance cell sensing under low-
cost data annotation, has garnered increased attention in computational pathology …

Cells play a fundamental role in sustaining life by performing numerous functions crucial for
the survival of living organisms. The detection of cells holds paramount importance in the …

Tumor cell detection plays a vital role in immunohistochemistry (IHC) quantitative analysis.
While recent remarkable developments in fully-supervised deep learning have greatly …

Cell recognition is a fundamental task in digital histopathology image analysis. Point-based
cell recognition (PCR) methods normally require a vast number of annotations, which is …

The quantitative analysis of cells is crucial for clinical diagnosis, and effective analysis
requires accurate detection and classification. Using point annotations for weakly …

The research of cell segmentation recently heavily relies on supervised algorithms, which in
turn depend on extensive manual annotations. However, due to the abundance and density …