Computer morphometry for liver fibrosis using an automatic image analysis system

2002 ◽  
Author(s):  
Xi-Zhang Lin ◽  
Yung-Nien Sun ◽  
Ming-Huwi Horng ◽  
Xiao-Zhen Guo
Keyword(s):  
Image Analysis ◽  
Liver Fibrosis ◽  
Image Analysis System ◽  
Automatic Image Analysis ◽  
Computer Morphometry ◽  
Analysis System

An automatic image analysis system for RLGS films

1998 ◽  
Vol 9 (8) ◽  
pp. 643-651 ◽  
Author(s):  
Yuichi Sugahara *, †, ‡ , Shingo ◽  
Yasushi Okazaki ◽  
Yoshihide Hayashizaki *, ‡ , Isao Taniha
Keyword(s):  
Image Analysis ◽  
Image Analysis System ◽  
Automatic Image Analysis ◽  
Analysis System

scholarly journals Automatic image analysis system to measure wound area in vitro

2019 ◽  
Vol 5 (1) ◽  
pp. 421-423
Author(s):  
Jacquelyn Dawn Parente ◽  
Adchiya Dhamodharan ◽  
Sabine Hensler ◽  
Claudia Kuhlbach ◽  
Margareta M. Mueller ◽  
...  
Keyword(s):  
Image Analysis ◽  
Repeated Measurements ◽  
Test Reliability ◽  
Area Measurement ◽  
Image Analysis System ◽  
Automatic Image Analysis ◽  
Wound Area ◽  
Treatment Experiment ◽  
Analysis System

AbstractIn-vitro wound area measurement tracks the rate of wound healing. This project develops and validates an automatic image analysis system to calculate wound area from digital images of an in-vitro 3D tissue model wounded with a biopsy punch. The algorithms were evaluated for repeatability, reliability, and reproducibility, and validated against a known area. Repeatability was checked through repeated measurements under repeated conditions. Reproducibility was evaluated using a Bland Altman plot and paired t-test. Reliability was validated using an image of a known pixel area as a control. The validated image analysis system then calculated wound area from the digital camera and microscope images obtained from an in vitro photo biomodulation treatment experiment. A total of 48 wounded tissues were grouped into red and blue light treatment groups and untreated controls. All daily images were fed into the image analysis system to calculate wound area. The wound area (normalized by day 0) is plotted along the 2-week treatment experiment period to observe wound area in time. The normalised wound area plotted across treatment days show no change in wound area during the treatment period. Future work will adapt the imaging system for visualizing the reepithelialisation cell front marked by live dyes.

An automatic image analysis system for dielectric track detectors

1995 ◽  
Vol 25 (1-4) ◽  
pp. 769-770 ◽  
Author(s):  
V.A. Ponomarenko ◽  
V.I. Matvienko ◽  
G.G. Gabdullin ◽  
J. Molnar
Keyword(s):  
Image Analysis ◽  
Image Analysis System ◽  
Automatic Image Analysis ◽  
Analysis System
Sign in / Sign up

Export Citation Format

Share Document