Red Blood Cells (RBCs)

RBCRed Blood Cells (RBCs) counting provides invaluable information for diagnosis of different disease such as anemia. Automatic counting is helpful for improving the hematological procedure. First step in automation; segmentation; is crucial for subsequent steps; feature extraction and classification. Red blood cells (RBCs), also called erythrocytes, are the most common type of blood cell and the vertebrate organism's principal means of delivering oxygen (O2) to the body tissues via blood flow through the circulatory system. RBCs take up oxygen in the lungs or gills and release it into tissues while squeezing through the body's capillaries.

The number of Red Blood Cells (RBCs) from blood smear is very important to detect as well as to follow the treatment of many diseases like anemia and leukemia. Counting of Red Blood Cells ("RBCs", "erythrocytes") – a component of the human blood - is a blood test that provides valuable information to pathologists such as the lack or overabundance of certain cells which can be used in diagnosis of diseases such as leukemia or anemia.

A Nikon V1 camera mounted on a Nikon ECLIPSE 50i microscope with magnification of 100x is used for imaging. Images are stored in JPEG format with a resolution of 3246×2448 pixels. The database is prepared with contribution of Medical Image & Signal Processing Research Center (MISP) and Department of Pathology at Isfahan University of Medical Sciences.

This dataset contains 100 microscopic images of blood smears from different patients and, for ease of access, it has been uploaded here either with low resolution ( LR ) and high resolution ( HR ).

The following paper is in this regard (please cite the paper if you used this dataset):

Omid Sarrafzadeh1, Alireza Mehri Dehnavi, Hossein Rabbani,Narjes Ghane, Ardeshir Talebi, “circlet based framework for red blood cells segmentation and counting”, SiPS 2015

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7 Responses to “Red Blood Cells (RBCs)

  1. APARNA V says:

    Sir,
    I am currently pursuing my M.Tech in Embedded Systems at Amrita School of Engineering, Coimbatore, India. As a part of my course I am doing a project on Anaemia Detection. I have downloaded the above given dataset and is planning to use the same for my project. So, it will be really helpful for me if you could mail me the actual RBC count associated with each image in the dataset.
    Thank You

  2. Jed Galambao says:

    To whom it may concern:

    I am currently a 5th year Electronics Engineering student in Cebu Institute of Technology – University, Philippines. As a requirement to my course, we are doing a thesis project and is planning to use the RBC dataset posted in your website. I would like to ask a favor if you could lend me the actual RBC count for each image in the given dataset for the purpose of getting the accuracy of our experiment.

    Hoping for your kind consideration. Thank you in advance and may God bless you always.

    • masoud kashefpoor says:

      Please read the related paper and contact the corresponding author’s email for more information.

  3. hajaz says:

    I am currently a PHD Student of Biomedical Engineering student in Universiti Teknologi Malaysia. As a requirement to my research, am planning to use the RBC dataset posted in your website. I would like to ask a favor if you could help me with the actual RBC count for each image in the given dataset for the purpose of getting the accuracy of my anlysis
    Hoping for your kind consideration. Thanks

  4. rashi jain says:

    sir we want images data set for dental images iam persuaing my mtech for Rajasthan technical universiy kota Rajasthan.please provide us details sir

  5. rashi jain says:

    sir we want data set of images for implementing Dental segmentation from X-ray images which u have provided please consider it.hope you will consider it thank you sir..

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