Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future

C Ikerionwu, C Ugwuishiwu, I Okpala, I James… - Photodiagnosis and …, 2022 - Elsevier
Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …

Leukemia segmentation and classification: A comprehensive survey

S Saleem, J Amin, M Sharif, GA Mallah, S Kadry… - Computers in Biology …, 2022 - Elsevier
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …

A novel deep learning based approach for seed image classification and retrieval

A Loddo, M Loddo, C Di Ruberto - Computers and Electronics in …, 2021 - Elsevier
Seeds image analysis has become essential to preserve biodiversity. This is why
recognition and classification of plant species on the earth's planet is nowadays a great …

Deep learning detection network for peripheral blood leukocytes based on improved detection transformer

B Leng, C Wang, M Leng, M Ge, W Dong - Biomedical Signal Processing …, 2023 - Elsevier
Leukocytes serve as an important barrier to healthy immunity in the body and play an
important role in fighting diseases. Manual morphological examination of leukocytes is the …

Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review

N KT, K Prasad, BMK Singh - Medical & biological engineering & …, 2022 - Springer
Anemia is a blood disorder which is caused due to inadequate red blood cells and
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …

Categorizing white blood cells by utilizing deep features of proposed 4B-AdditionNet-based CNN network with ant colony optimization

A Shahzad, M Raza, JH Shah, M Sharif… - Complex & Intelligent …, 2022 - Springer
White blood cells, WBCs for short, are an essential component of the human immune
system. These cells are our body's first line of defense against infections and diseases …

One-stage and lightweight CNN detection approach with attention: Application to WBC detection of microscopic images

Z Han, H Huang, D Lu, Q Fan, C Ma, X Chen… - Computers in Biology …, 2023 - Elsevier
White blood cell (WBC) detection in microscopic images is indispensable in medical
diagnostics; however, this work, based on manual checking, is time-consuming, labor …

Blob detection and deep learning for leukemic blood image analysis

C Di Ruberto, A Loddo, G Puglisi - Applied Sciences, 2020 - mdpi.com
In microscopy, laboratory tests make use of cell counters or flow cytometers to perform tests
on blood cells, like the complete blood count, rapidly. However, a manual blood smear …

An empirical evaluation of convolutional networks for malaria diagnosis

A Loddo, C Fadda, C Di Ruberto - Journal of Imaging, 2022 - mdpi.com
Malaria is a globally widespread disease caused by parasitic protozoa transmitted to
humans by infected female mosquitoes of Anopheles. It is caused in humans only by the …

Automated design for recognition of blood cells diseases from hematopathology using classical features selection and ELM

MA Khan, M Qasim, HMJ Lodhi, M Nazir… - Microscopy …, 2021 - Wiley Online Library
In the human immune system, the white blood cells (WBC) creates bone and lymphoid
masses. These cells defend the human body toward several infections, such as fungi and …