Raabin Health Database

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Step One

In the first step, register to the site. (Note that the respected users can download the free data without the need to register. However, the registered information when signing up will be used for better interaction and service delivery to all our dear customers.)

Step Two

Then, enter the site and fill up the appropriate spaces in the user panel.

Step Three

Now, you can refer to the free data section or related page, choose the considered data and download it by clicking on “related title” or “download here”.

Blood Free Data

Raabin-WBC Data

Here you can choose and download the considered data by clicking on “related title” or “download here”. Also, you can read more about the importance and necessity of WBC by clicking the title.

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Double-labeled Cropped Cells
Nucleus_cytoplasm_Ground truths
First Microscope Images
Second Microscope Images

Double-labeled cropped cells

Double-labeled cropped cells are also provided containing only five main classes including mature neutrophils, lymphocytes (small and large), eosinophils, monocytes, and basophils. This sub-dataset is called Double-labeled Raabin-WB

“download here“

Nucleus_cytoplasm_Ground truths

In recent years, many researchers have investigated segmenting the cytoplasm and nucleus of the white blood cells. Hence, we tried to prepare the ground truths of the cytoplasm and the nucleus for a proper number of cropped white blood cells. For this purpose, 1145 cropped images including 242 lymphocytes, 242 monocytes, 242 neutrophils, 201 eosinophils, and 218 basophils were randomly selected, and their ground truths were extracted by an expert.

Download bmp format

dl.raabindata.com/WBC/nucleus_cytoplasm_GT/GroundTruths_bmpformat.rar

Download jpg format

dl.raabindata.com/WBC/nucleus_cytoplasm_GT/GrTh.rar

An example source code to extracting nucleus and cytoplasm from BMP format image

dl.raabindata.com/WBC/nucleus_cytoplasm_GT/NucCytSplitter.py

Ground truth of nucleus for MaskRCNN training

dl.raabindata.com/WBC/nucleus_cytoplasm_GT/maskRCNN.rar

Microscopic images were taken by the Olympus CX18 microscope and the Samsung Galaxy S5 camera

Note that the images of each blood film are placed in separate folders. Corresponding to each microscopic image, a dictionary (.json format) file containing the following information about that image was provided:

Information about the blood elements in the image including their coordinates and labels.
Information about the blood smears including staining method and the type of the disease.
Information about the microscope includes the type of microscope and its magnification size.
The type of camera used.

“download here”

An example of source code to extracting cells using JSON

Microscopic images were taken by the Zeiss microscope and the LG G3 camera

Information about the blood elements in the image including their coordinates and labels.
Information about the blood smears including staining method and the type of the disease.
Information about the microscope includes the type of microscope and its magnification size.
The type of camera used.

“download here“

An example of source code to extracting cells using JSON

Codes

You can use the related codes here.

Information

Information about the blood elements in the image including their coordinates and labels.
Information about the blood smears including staining method and the type of the disease.
Information about the microscope includes the type of microscope and its magnification size.
The type of the camera used.

Citation
Citation• All documents and papers that use Raabin-WBC must cite the dataset paper appropriately.

www.nature.com

A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm

• If you utilize the ground truth data, in addition to the dataset paper, you should cite the following paper:

www.nature.com

New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images

Research

Here you can read the articles which has utilized Raabin-WBC Data:

1- On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario. Andrea Loddo & Lorenzo Putzu.

2- Generalizability in White Blood Cells’ Classification Problem. Eslam Tavakoli, Ali Ghaffari & Zahra Mousavi Kouzehkanan.

3- New Segmentation and Feature Extraction Algorithm for Classification of White Blood Cells in Peripheral Smear Images. Eslam Tavakoli, Ali Ghaffari, Seyedeh-Zahra Mousavi Kouzehkanan & Reshad Hosseini.

4- Easy-GT: Open-Source Software to Facilitate Making the Ground Truth for White Blood Cells Nucleus. Seyedeh-Zahra Mousavi Kouzehkanan, Islam Tavakoli & Arezoo Alipanah.

Raabin-Leukemia Data

Here you can choose and download the considered data by clicking on “related title” or “download here”. Also, you can read more about leukemia by clicking the title.

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Acute Lymphoblastic Leukemia
Acute Myeloblastic Leukemia
Chronic Lymphocytic Leukemia
Chronic Myelogenous Leukemia

Acute Lymphoblastic Leukemia

All samples were taken from patients who had referred to our collaborator medical laboratory (Takht-e Tavous Laboratory in Tehran, Iran). It should be noted that the Zeiss microscope and LG J3 smartphone camera have been used for imaging.