prognosis of the relapse of ovarian cancer based on the computer-assisted morphometric study of ovarian carcinoma samples stained with various histochemical markers
Clicks: 324
ID: 134264
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
324 views
45 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #1 of 7 articles by views in essachess
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
An experience in lymphangiogenesis morphometry applying their original software is described. For the implementation in clinical practice protocols, it is necessary to carry out a large-scale studies, where the objects of research are in the earliest stages of pathology.
| Reference Key |
sprindzuk2019dokladyprognosis
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;M. V. Sprindzuk;A. V. Shukelovich;A. P. Konchits |
| Journal | essachess |
| Year | 2019 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.