Spatial-spectral blood cell classification with microscopic hyperspectral imagery

2017 ◽  
Author(s):  
Qiong Ran ◽  
Lan Chang ◽  
Wei Li ◽  
Xiaofeng Xu
Keyword(s):  
Blood Cell ◽  
Hyperspectral Imagery ◽  
Cell Classification

Parallel computation for blood cell classification in medical hyperspectral imagery

2016 ◽  
Vol 27 (9) ◽  
pp. 095102 ◽  
Author(s):  
Wei Li ◽  
Lucheng Wu ◽  
Xianbo Qiu ◽  
Qiong Ran ◽  
Xiaoming Xie
Keyword(s):  
Blood Cell ◽  
Parallel Computation ◽  
Hyperspectral Imagery ◽  
Cell Classification

scholarly journals Red blood cell classification in lensless single random phase encoding using convolutional neural networks

2020 ◽  
Vol 28 (22) ◽  
pp. 33504 ◽  
Author(s):  
Timothy O’Connor ◽  
Christopher Hawxhurst ◽  
Leslie M. Shor ◽  
Bahram Javidi
Keyword(s):  
Neural Networks ◽  
Blood Cell ◽  
Convolutional Neural Networks ◽  
Red Blood Cell ◽  
Random Phase ◽  
Cell Classification ◽  
Phase Encoding ◽  
Random Phase Encoding

Morphological, fractal, and textural features for the blood cell classification: the case of acute myeloid leukemia

2021 ◽  
Author(s):  
Marko Dinčić ◽  
Tamara B. Popović ◽  
Milica Kojadinović ◽  
Alexander M. Trbovich ◽  
Andjelija Ž. Ilić
Keyword(s):  
Acute Myeloid Leukemia ◽  
Blood Cell ◽  
Myeloid Leukemia ◽  
Textural Features ◽  
Cell Classification ◽  
Acute Myeloid

scholarly journals Blood Cell Classification Utilizing Hydrodynamic Filtration

2008 ◽  
Vol 128 (10) ◽  
pp. 396-401 ◽  
Author(s):  
Miyuki Matsuda ◽  
Masumi Yamada ◽  
Minoru Seki
Keyword(s):  
Blood Cell ◽  
Cell Classification ◽  
Hydrodynamic Filtration

scholarly journals Red blood cell classification on thin blood smear images for malaria diagnosis

2020 ◽  
Vol 1444 ◽  
pp. 012036 ◽  
Author(s):  
Budi Sunarko ◽  
Djuniadi ◽  
Murk Bottema ◽  
Nur Iksan ◽  
Khakim A N Hudaya ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Smear ◽  
Malaria Diagnosis ◽  
Thin Blood Smear ◽  
Cell Classification

scholarly journals Application of the method of multiple thresholding to white blood cell classification

1988 ◽  
Vol 18 (2) ◽  
pp. 65-74 ◽  
Author(s):  
E.S. Gelsema ◽  
H.F. Bao ◽  
A.W.M. Smeulders ◽  
H.C. den Harink
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Cell Classification

scholarly journals A Neural-Network-Based Approach to White Blood Cell Classification

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Mu-Chun Su ◽  
Chun-Yen Cheng ◽  
Pa-Chun Wang
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Classification System ◽  
Blood Cells ◽  
White Blood Cells ◽  
Recognition Rate ◽  
Color Space ◽  
Segmentation Algorithm ◽  
Cell Classification ◽  
Morphological Process

This paper presents a new white blood cell classification system for the recognition of five types of white blood cells. We propose a new segmentation algorithm for the segmentation of white blood cells from smear images. The core idea of the proposed segmentation algorithm is to find a discriminating region of white blood cells on the HSI color space. Pixels with color lying in the discriminating region described by an ellipsoidal region will be regarded as the nucleus and granule of cytoplasm of a white blood cell. Then, through a further morphological process, we can segment a white blood cell from a smear image. Three kinds of features (i.e., geometrical features, color features, and LDP-based texture features) are extracted from the segmented cell. These features are fed into three different kinds of neural networks to recognize the types of the white blood cells. To test the effectiveness of the proposed white blood cell classification system, a total of 450 white blood cells images were used. The highest overall correct recognition rate could reach 99.11% correct. Simulation results showed that the proposed white blood cell classification system was very competitive to some existing systems.

scholarly journals Possible automatic cell classification of bone marrow aspirate using the CELL-DYN 4000®automatic blood cell analyzer

2002 ◽  
Vol 16 (2) ◽  
pp. 86-90 ◽  
Author(s):  
Ryousuke Yamamura ◽  
Takahisa Yamane ◽  
Masayuki Hino ◽  
Kensuke Ohta ◽  
Hisako Shibata ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
Bone Marrow Aspirate ◽  
Cell Classification ◽  
Cell Analyzer
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