To successfully train a deep neural network, a large amount of human-labeled data is
required. Unfortunately, in many areas, collecting and labeling data is a difficult and tedious …

Peripheral blood smear examination is one of the basic steps in the evaluation of different
blood cells. It is a confirmatory step after an automated complete blood count analysis …

Abstract Background Red blood cells (RBCs) are usually considered simple cells and
transporters of gases to tissues. Hypothesis However, recent research has suggested that …

These days deep learning is the fastest-growing area in the field of Machine Learning.
Convolutional Neural Networks are currently the main tool used for the image analysis and …

In recent years, deep learning and especially Deep Neural Networks (DNN) have obtained
amazing performance on a variety of problems, in particular in classification or pattern …

The diagnosis of leukemia is made possible by microscopic investigation of the smear in the
periphery. Prior training is necessary to complete the morphological examination of the …

Malignant melanomas are the most deadly type of skin cancer, yet detected early have high
chances of successful treatment. In the last twenty years, the interest in automatic …

Malaria is a life-threatening infectious disease caused by Plasmodium parasites, which
poses a significant public health challenge worldwide, particularly in tropical and subtropical …

With advancements in related sub-fields, research on photomicrography in life science is
emerging and this is a review on its application towards human full blood count testing …

The red blood cell deformation caused by disorders like sickle cell disease can be assessed
by observing blood samples under a microscope. This manual process is cumbersome and …