Recognition of different types of leukocytes using YOLOv2 and optimized bag-of-features

M Sharif, J Amin, A Siddiqa, HU Khan, MSA Malik… - IEEE …, 2020 - ieeexplore.ieee.org
White blood cells (WBCs) protect human body against different types of infections including
fungal, parasitic, viral, and bacterial. The detection of abnormal regions in WBCs is a difficult …

Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms

V Acharya, P Kumar - Medical & biological engineering & computing, 2019 - Springer
Blood is composed of white blood cells, red blood cells, and platelets. Segmentation of the
blood smear cells and extraction of features of the cells is essential in the field of medicine …

Detection of leukemia in microscopic white blood cell images

S Khobragade, DD Mor, CY Patil - … international conference on …, 2015 - ieeexplore.ieee.org
Leukemia means blood cancer which is featured by the uncontrolled and abnormal
production of white blood cells (leukocytes) by the bone marrow in the blood. Analyzing …

Blood cell count using digital image processing

VD Dvanesh, PS Lakshmi, K Reddy… - … Conference on Current …, 2018 - ieeexplore.ieee.org
The basic aim of this paper is to find the RBC and WBC count using Digital Image
Processing (DIP) from blood smear images captured through a compound microscope. This …

Leukocyte subtypes classification by means of image processing

O Ryabchykov, A Ramoji, T Bocklitz… - … on computer science …, 2016 - ieeexplore.ieee.org
The classification of leukocyte subtypes is a routine method to diagnose many diseases,
infections, and inflammations. By applying an automated cell counting procedure, it is …

[PDF][PDF] Survey on automatic rbc detection and counting

A Pandit, S Kolhar, P Patil - International Journal of Advanced …, 2015 - researchgate.net
Blood cell segmentation and identification is very important as blood being health indicator.
A person's health is determined using complete blood count. The contents of the blood in …

Localization of white blood cell images using Haar cascade classifiers

RAM Budiman, B Achmad, A Arif… - 2016 1st International …, 2016 - ieeexplore.ieee.org
Haar Cascade Classifier is a method for detection of objects within an image, which is
widely applied on face detection. This paper discusses the utilization of Haar Cascade …

[PDF][PDF] Counting of RBC using circular hough transform with median filtering

N Nasreen, C Kumar, AP Nabeel - Proceeding of Third National …, 2015 - researchgate.net
Precise value of blood cell count plays a very important role in the disease diagnosis field.
Increment or decrement in the count of blood cell causes many diseases to occur in the …

Controlled microfluidic environment for dynamic investigation of red blood cell aggregation

R Mehri, C Mavriplis, M Fenech - JoVE (Journal of Visualized Experiments), 2015 - jove.com
Blood, as a non-Newtonian biofluid, represents the focus of numerous studies in the
hemorheology field. Blood constituents include red blood cells, white blood cells and …

Состояние и перспективы развития систем автоматизации световой микроскопии при диагностике острых лейкозов

ЕВ Поляков - Системный анализ и управление в биомедицинских …, 2018 - elibrary.ru
Статья посвящена обзору методов и средств автоматизации микроскопического
анализа на базе световой микроскопии для диагностики острых лейкозов. Отражены …