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 …

Detection of sickle cell disease is a crucial job in medical image analysis. It emphasizes
elaborate analysis of proper disease diagnosis after accurate detection followed by a …

It is projected that by the year 2050, there will be insufficient land suitable for agriculture to
feed the world. Cellular agriculture has the potential to produce meat that replicates the …

Over the years many ellipse detection algorithms spring up and are studied broadly, while
the critical issue of detecting ellipses accurately and efficiently in real-world images remains …

Automated image analysis of histopathology specimens could potentially provide support for
early detection and improved characterization of breast cancer. Automated segmentation of …

We propose weakly supervised training schemes to train end-to-end cell segmentation
networks that only require a single point annotation per cell as the training label and …

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 …

White blood cells (WBCs) is closely related to human immunity system which is useful to
fight viruses and bacteria. Cancer therapy effectiveness and some of the blood-related …

Background Lineage‐tracing experiments have established that the central region of the
mature intervertebral disc, the nucleus pulposus (NP), develops from the embryonic …

Ki-67 proliferation index is a valid and important biomarker to gauge neuroendocrine tumor
(NET) cell progression within the gastrointestinal tract and pancreas. Automatic Ki-67 …