Erythrocyte (Red Blood Cell) Dataset in Thalassemia case
Penulis/Author
Dr. Dyah Aruming Tyas, S.Si. (1); Dr. dr. Tri Ratnaningsih, Sp.PK(K).,M.Kes. (2); Prof. Drs. Agus Harjoko, M.Sc., Ph.D. (3); Prof. Dra. Sri Hartati, M.Sc., Ph.D. (4)
Tanggal/Date
2022
Kata Kunci/Keyword
Abstrak/Abstract
Red blood cell (RBC) dataset was obtained from thalassemia peripheral blood smears and healthy peripheral blood smears. The dataset contains 7108 images of individual red blood cells for nine cell types. The first process is image acquisition, which is the process of retrieving microscopic image data from peripheral blood smears through a microscope using a camera for the microscope. Laboratory assistants helped obtain ideal erythrocyte images. We provide peripheral blood smear from four thalassemia patients in the ThalassemiaPBS dataset. After image acquisition, the image is resized from 4100 x 3075 pixels to 800 x 600 pixels to reduce the computing load in the next stage. We extracted the green color component (green channel) of the RGB image and used it in the next process. We chose the green channel because it is not affected by variations in color and brightness. Furthermore, the segmentation stage is carried out to obtain an object in the form of a single red blood cell. After that, the object can be classified according to the type of red blood cell. This dataset can become an opportunity for international researchers to develop the classification method for red blood cells.
Rumpun Ilmu
Ilmu Komputer
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
Erythrocyte (Red Blood Cell) Dataset in Thalassemia case.pdf
