Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 210,212,281 papers from all fields of science
Search
Sign In
Create Free Account
Body of uterus
Known as:
CORPUS UTERI
, Uterine body
, Uterus, Corpus
Expand
The Corpus uteri, or body of uterus, is the part of the uterus above the isthmus, comprising about two thirds of the non-pregnant organ.
National Institutes of Health
Create Alert
Alert
Related topics
Related topics
44 relations
Atypical Melanocytic Nevus, Genital Type
Benign Endometrial Neoplasm
Cervical Blue Nevus
Clinical Data Interchange Standards Consortium Terminology
Expand
Narrower (1)
Upper uterine segment
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Language Models are Unsupervised Multitask Learners
Alec Radford
,
Jeff Wu
,
Rewon Child
,
D. Luan
,
Dario Amodei
,
Ilya Sutskever
2019
Corpus ID: 160025533
Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are…
Expand
Highly Cited
2018
Highly Cited
2018
Improving Language Understanding by Generative Pre-Training
Alec Radford
,
Karthik Narasimhan
2018
Corpus ID: 49313245
Natural language understanding comprises a wide range of diverse tasks such as textual entailment, question answering, semantic…
Expand
Highly Cited
2016
Highly Cited
2016
Cancer statistics, 2016
R. Siegel
,
K. Miller
,
A. Jemal
Ca
2016
Corpus ID: 24611962
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States…
Expand
Highly Cited
2010
Highly Cited
2010
Software Framework for Topic Modelling with Large Corpora
Radim Rehurek
,
Petr Sojka
2010
Corpus ID: 18593743
Large corpora are ubiquitous in today's world and memory quickly becomes the limiting factor in practical applications of the…
Expand
Highly Cited
2007
Highly Cited
2007
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Qiong Wang
,
G. Garrity
,
J. Tiedje
,
J. Cole
Applied and Environmental Microbiology
2007
Corpus ID: 1373790
ABSTRACT The Ribosomal Database Project (RDP) Classifier, a naïve Bayesian classifier, can rapidly and accurately classify…
Expand
Highly Cited
2006
Highly Cited
2006
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
Michael Elad
,
M. Aharon
IEEE Transactions on Image Processing
2006
Corpus ID: 6888534
We address the image denoising problem, where zero-mean white and homogeneous Gaussian additive noise is to be removed from a…
Expand
Highly Cited
1997
Highly Cited
1997
A Comparative Study on Feature Selection in Text Categorization
Yiming Yang
,
Jan O. Pedersen
International Conference on Machine Learning
1997
Corpus ID: 5083193
This paper is a comparative study of feature selection methods in statistical learning of text categorization The focus is on…
Expand
Highly Cited
1993
Highly Cited
1993
Building a Large Annotated Corpus of English: The Penn Treebank
M. Marcus
,
Beatrice Santorini
,
Mary Ann Marcinkiewicz
International Conference on Computational Logic
1993
Corpus ID: 252796
Abstract : As a result of this grant, the researchers have now published oil CDROM a corpus of over 4 million words of running…
Expand
Highly Cited
1989
Highly Cited
1989
Word Association Norms, Mutual Information and Lexicography
Kenneth Ward Church
,
P. Hanks
Annual Meeting of the Association for…
1989
Corpus ID: 9558665
The term word association is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects…
Expand
Highly Cited
1987
Highly Cited
1987
Recognition-by-components: a theory of human image understanding.
I. Biederman
Psychology Review
1987
Corpus ID: 8054340
The perceptual recognition of objects is conceptualized to be a process in which the image of the input is segmented at regions…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE