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Introduction
Published in Venkatesan Rajinikanth, E. Priya, Hong Lin, Fuhua Lin, Hybrid Image Processing Methods for Medical Image Examination, 2021
Venkatesan Rajinikanth, E. Priya, Hong Lin, Fuhua Lin
Once sufficient volume of the blood is collected from the patent using the prescribed protocol, the collected blood is converted into blood film/peripheral blood smear (thin/thick) using the glass microscope slide. These are then marked in such a way as to observe different blood cells. The marking/staining agents are used to enhance the visibility of the information to be collected from the peripheral blood smear.White Blood Cell
Proficient Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm
Published in K. Gayathri Devi, Mamata Rath, Nguyen Thi Dieu Linh, Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches, 2020
M. Sangeetha, K.N. Apinaya Prethi, S. Nithya
In image processing, the input must be an image. Hence, the input for this project is a blood smear microscopic image. A blood smear is a thin layer of blood smeared on a slide and stained for examination under a microscope. Some other names of blood smear are blood cell morphology, blood film, peripheral blood film and peripheral smear. For verification of a blood smear image, laboratory experts focus on a problem that may not be identified by computer analysis.
Computer-aided system for Leukocyte nucleus segmentation and Leukocyte classification based on nucleus characteristics
Published in International Journal of Computers and Applications, 2020
The LISC dataset and MISP Dataset were used for this research work. The LISC dataset [14] consists of 242 blood smear images taken from the peripheral blood of healthy subjects. Staining of the blood smear images was performed using Gismo-Right staining technique. In addition to the blood smear images, the ground truth segmentation data is also made available to assess the correctness of the proposed segmentation system. The blood smear images were classified by a hematological expert into five classes of leukocytes: lymphocyte, monocyte, neutrophil, eosinophil and basophil. Each image comprises 720 × 576 pixels.