Automatic Contrast Enhancement with Differential Evolution for Leukemia Cell Identification

2019 ◽  
pp. 282-291
Author(s):  
R. Ochoa-Montiel ◽  
O. Flores-Castillo ◽  
Humberto Sossa ◽  
Gustavo Olague
Keyword(s):  
Differential Evolution ◽  
Contrast Enhancement ◽  
Leukemia Cell ◽  
Cell Identification

scholarly journals An Efficient Image Contrast Enhancement Method using Sigmoid Function and Differential Evolution

2020 ◽  
Vol 4 (3) ◽  
pp. 162
Author(s):  
Kim-Ngan Nguyen-Thi ◽  
Ha Che-Ngoc ◽  
Anh-Thy Pham-Chau
Keyword(s):  
Differential Evolution ◽  
Contrast Enhancement ◽  
Image Enhancement ◽  
Image Features ◽  
Image Contrast ◽  
Sigmoid Function ◽  
Creative Commons ◽  
De Algorithm ◽  
Image Contrast Enhancement ◽  
Enhancement Method

Image enhancement is an adjusting process to make an image more appropriate for certain applications. The contrast enhancement is one of the most frequently used image enhancement methods. In this study, we introduce a new image contrast enhancement method using a link between sigmoid function and Differential Evolution (DE) algorithm. DE algorithm is performed to identify the parameters in sigmoid function so that they can maximize the measure of contrast. The experimental results show that the proposed method not only retains the original image features but also enhances the contrast effectively. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Differential evolution optimization combined with chaotic sequences for image contrast enhancement

2009 ◽  
Vol 42 (1) ◽  
pp. 522-529 ◽  
Author(s):  
Leandro dos Santos Coelho ◽  
João Guilherme Sauer ◽  
Marcelo Rudek
Keyword(s):  
Differential Evolution ◽  
Contrast Enhancement ◽  
Image Contrast ◽  
Chaotic Sequences ◽  
Image Contrast Enhancement

scholarly journals Rapid and label-free identification of single leukemia cells from blood in a high-density microfluidic trapping array by fluorescence lifetime imaging microscopy

Lab on a Chip ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 1349-1358 ◽  
Author(s):  
Do-Hyun Lee ◽  
Xuan Li ◽  
Ning Ma ◽  
Michelle A. Digman ◽  
Abraham P. Lee
Keyword(s):  
Fluorescence Lifetime ◽  
Leukemia Cell ◽  
High Density ◽  
Leukemia Cells ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
Label Free ◽  
Cell Identification ◽  
Lifetime Imaging

Rapid and label-free single-leukemia-cell identification through fluorescence lifetime imaging microscopy (FLIM) in the high-density microfluidic trapping array.

An Energy Analyser for Contrast Enhancement in STEM

1974 ◽  
Vol 32 ◽  
pp. 434-435
Author(s):  
H.T. Pearce-Percy
Keyword(s):  
Contrast Enhancement ◽  
Bending Angle ◽  
Magnetic Sector ◽  
Conventional Design ◽  
Bending Radius ◽  
Sector Type

Recently an energy analyser of the uniform magnetic sector type has been installd in a 100KV microscope. This microscope can be used in the STEM mode. The sector is of conventional design (Fig. 1). The bending angle was chosen to be 90° for ease of construction. The bending radius (ρ) is 20 cm. and the object and image distances are 42.5 cm. and 30.0 cm. respectively.

Positive correlation between neovascularization degree of carotid atherosclerosis determined by contrast-enhanced ultrasound and level of serum C-reactive protein

VASA ◽  
2015 ◽  
Vol 44 (3) ◽  
pp. 0187-0194 ◽  
Author(s):  
Xiaoni Chang ◽  
Jun Feng ◽  
Litao Ruan ◽  
Jing Shang ◽  
Yanqiu Yang ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Rank Correlation ◽  
Artery Stenosis ◽  
Contrast Enhanced Ultrasound ◽  
C Reactive Protein ◽  
Protein Levels ◽  
Reactive Protein ◽  
Contrast Enhanced ◽  
Grade 3 ◽  
Axis View

Background: Neovascularization is one of the most important risk factors for unstable plaque. This study was designed to correlate plaque thickness, artery stenosis and levels of serum C-reactive protein with the degree of intraplaque enhancement determined by contrast-enhanced ultrasound. Patients and methods: Contrast-enhanced ultrasound was performed on 72 carotid atherosclerotic plaques in 48 patients. Contrast enhancement within the plaque was categorized as grade 1, 2 or 3. Maximum plaque thickness was measured in short-axis view. Carotid artery stenosis was categorized as mild, moderate or severe. Results: Plaque contrast enhancement was not associated with the degree of artery stenosis or with plaque thickness. Serum C-reactive protein levels were positively correlated with the number of new vessels in the plaque. C-reactive protein levels increased in the three groups(Grade 1: 3.72±1.79mg/L; Grade 2: 7.88±4.24 mg/L; Grade 3: 11.02±3.52 mg/L), with significant differences among them (F=10.14, P<0.01), and significant differences between each two groups (P<0.05). Spearman’s rank correlation analysis showed that serum C-reactive protein levels were positively correlated with the degree of carotid plaque enhancement (Rs =0.69, P<0.01). Conclusions: The combination of C-reactive protein levels and intraplaque neovascularization detected by contrast-enhanced ultrasound may allow more accurate evaluation of plaque stability.

Sign in / Sign up

Export Citation Format

Share Document