This paper reviews computer vision and image analysis studies aiming at automated
diagnosis or screening of malaria infection in microscope images of thin blood film smears …

Taking and analyzing images of materials' microstructures is essential for quality control,
choice and design of all kind of products. Today, the standard method still is to analyze 2D …

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

An automated system for leukocyte classification can make manual analysis of peripheral
blood smear faster and less tedious task for a pathologist. Hematological disorders of …

Accurate grading for hepatocellular carcinoma (HCC) biopsy images is important to
prognosis and treatment planning. In this paper, we propose an automatic system for …

Microscopy cell image analysis is a fundamental tool for biological research. In particular,
multivariate fluorescence microscopy is used to observe different aspects of cells in cultures …

Faiz, Mohammed Mujahid Ulla and Kale, Izzet 2022. A novel fixed-point leaky sign regressor
algorithm based adaptive noise canceller for PLI cancellation in ECG signals. 2022 IEEE 7th …

Modern automated microscopes collect digital images at an astonishing pace. Automated
image analysis can measure biological phenotypes quantitatively and reliably, and has …

The size characterization of particles present in the form of agglomerates in images
measured by scanning electron microscopy (SEM) requires a powerful image segmentation …

With more than 40% of the world's population at risk, 200–300 million infections each year,
and an estimated 1.2 million deaths annually, malaria remains one of the most important …