Identification and Counting of Blood Cells Using Machine Learning and Image Processing

MKH Mondal, M Chakraborty, MK Roy, J Patra… - … on Intelligent Informatics, 2022 - Springer
Doctors view the total number of leukocytes in a person's blood as a crucial sign of that
individual's general health. Historically, blood cell counting was performed manually using a …

Machine learning approach of automatic identification and counting of blood cells

MM Alam, MT Islam - Healthcare technology letters, 2019 - Wiley Online Library
A complete blood cell count is an important test in medical diagnosis to evaluate overall
health condition. Traditionally blood cells are counted manually using haemocytometer …

[PDF][PDF] An Efficient Approach to Track RBC and Detect Blood Disease using Blood Samples

K Tiwari, MP Thakre - International Journal of Science Technology …, 2016 - academia.edu
The measure of WBC and RBC Cells are very crucial to diagnose various diseases.
Diseases like anaemia, leukaemia etc. can easily diagnose by calculation of WBC and RBC …

[PDF][PDF] An accurate and cost effective approach to blood cell count

S Khan, A Khan, FS Khattak… - International Journal of …, 2012 - academia.edu
Medical imaging brings up the methods and technique which enable us to take and analyse
images of different disease and human body parts for diagnosing purposes. The old …

[PDF][PDF] An extensible computer vision application for blood cell recognition and analysis

GPM Priyankara, OW Seneviratne… - … of Computer Science …, 2006 - people.csail.mit.edu
Fast and cost-effective production of blood cell count reports is of paramount importance in
the healthcare industry. The traditional method of manual count under the microscope yields …

Calculating the Blood Cells Count Using Image Processing and Computer Vision.

K Kumaran, G Saranya, N Ananthi… - Annals of the …, 2021 - annalsofrscb.ro
The Blood cells white, red and platelets are vitals of the system. These cells help control
infections with aggressive bacteriological viruses and germs that invade the body. laboratory …

A Novel Automated Blood Cell Counting Method Based on Deconvolution and Convolution and Its Application to Neural Networks

J Chatterjee, S Chakraborty, K Palodhi - Advanced Computing and …, 2020 - Springer
Blood cell counting and disease detection are very important in healthcare, biomedical
research and pathology. Conventional cell counting techniques have problems of their own …

[PDF][PDF] Image processing based abnormal blood cells detection

DN Patil, UP Khot - International Journal of Technical Research and …, 2015 - academia.edu
This paper deals with an image processing technique used for detecting the abnormalities of
blood cells in less time. The proposed image processing technique also helps in counting …

[PDF][PDF] Identification of Blood group and Blood cells through Image Processing

V Bhavana, T Padma, AN Rao, CU Kumari, S Fayaz - 2023 - easychair.org
In a human body, blood plays a major role in delivering oxygen and providing nourishment.
So, it's very important to have a proper analysis of blood cells and the blood group of a …

[PDF][PDF] Automatic blood cell analysis by using digital image processing: a preliminary study

MG Bhamare, DS Patil - International Journal of Engineering …, 2013 - academia.edu
In medical diagnosis blood cell count plays very important role. Increment or decrement in
the count of blood cell causes many diseases to occur in the human body. There are …