Unique ID issued by UMIN | UMIN000047465 |
---|---|
Receipt number | R000054085 |
Scientific Title | Analysis of ocular pathological specimen images using image analysis software |
Date of disclosure of the study information | 2022/05/01 |
Last modified on | 2022/10/14 12:50:08 |
Analysis of ocular pathological specimen images using image analysis software
Analysis of ocular pathological specimen images using image analysis software
Analysis of ocular pathological specimen images using image analysis software
Analysis of ocular pathological specimen images using image analysis software
Japan |
Orbital disease
Ophthalmology |
Others
NO
The purpose of this study is to develop a new quantitative evaluation method for the pathology of human eye tissue, which had been visually evaluated, to collect data by reading eye pathological sample images with software that can analyze images based on topological geometry and responding to the differentiation of existing normal structures, tumors, and inflammation changes.
Others
The purpose of this study is to develop a new quantitative evaluation method for the pathology of human eye tissue, which had been visually evaluated, to collect data by reading eye pathological sample images with software that can analyze images based on topological geometry and responding to the differentiation of existing normal structures, tumors, and inflammation changes.
Confirmatory
Explanatory
Quantitative evaluation results by topological geometric method. Specifically, the ratio (b1 / b0) of the 0-dimensional Vetch number, the one-dimensional Vetch number, and the Betch number obtained from each pathological sample image, and the threshold value of the bivaluation when it is obtained.
Basis for setting the main evaluation items: A method for calculating quantitative evaluation of the main outcome 1 is described. In this study, we analyze images using homology. In the analysis using homology, the vetch number of the image is an important concept. Hereinafter, the number of veches based on the definition limited to the two-dimensional image will be outlined.
All pathological images in this study are two-dimensional images.
1, How does the threshold of bivalanization change when the vetch number is obtained by normal structure, inflammation and neoplastic changes?
2,The correct diagnosis rate when the identification model which distinguishes the above structure, inflammation, tumor, emphysema change from the logistics regression model and the machine learning model for multiclass classification is created.
Observational
20 | years-old | < |
Not applicable |
Male and Female
1. From April 1, 2008 to December 31, 2021, a part of the eye was removed by surgery at Osaka City University Visual Pathology or Kobe Kaisei Hospital for the purpose of diagnosis and treatment of the disease, and patients who have received pathologic1. diagnosis who can obtain pathological sample images are eligible.
2.For comparison, pathological sample images of eye tissue in non-lesions are also subject to analysis.
3.Those who are 20 years of age or older at the time of diagnosis
1.Patients with complications that affect the evaluation
2. Patients who have offered not to participate in this study from the published information
100
1st name | Mizuki |
Middle name | |
Last name | Tagami |
Osaka Metropolitan University
Ophthalmology and Visual sciences
5458585
1-4-3, Asahimachi Abeno-ku Osaka
0666453867
tagami.mizuki@med.osaka-cu.ac.jp
1st name | Mizuki |
Middle name | |
Last name | Tagami |
Osaka Metropolitan University
Ophthalmology and Visual sciences
5458585
1-4-3, Asahimachi Abeno-ku Osaka
+81666453867
tagami.mizuki@med.osaka-cu.ac.jp
Osaka Metropolitan University
Osaka Metropolitan University
Self funding
Osaka MetropolitanUniversity
1-2-7 Asahimachi abeno-ku Osaka
06-6645-3456
gr-a-knky@omu.ac.jp
NO
2022 | Year | 05 | Month | 01 | Day |
Unpublished
Open public recruiting
2022 | Year | 04 | Month | 01 | Day |
2022 | Year | 07 | Month | 28 | Day |
2022 | Year | 05 | Month | 01 | Day |
2027 | Year | 03 | Month | 31 | Day |
Observational research
2022 | Year | 04 | Month | 12 | Day |
2022 | Year | 10 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000054085
Research Plan | |
---|---|
Registered date | File name |
Research case data specifications | |
---|---|
Registered date | File name |
Research case data | |
---|---|
Registered date | File name |