Dentistry dataset

  • How do dentists use statistics?

    Dental Health Facts & Statistics
    General health and hygiene statistics offer a baseline, helping dentists understand the likelihood of various dental health issues arising.
    This helps with identification and treatment, and ensures that patients get the care they need..

  • How do you define a dataset?

    A Dataset is a set or collection of data.
    This set is normally presented in a tabular pattern.
    Every column describes a particular variable.
    And each row corresponds to a given member of the data set, as per the given question..

  • What is dental data?

    Dental Data: Clinical Data
    Aggregating data from different sources (financial and clinical) provides a comprehensive overview and allows oral health practitioners to make informed decisions about the effectiveness of treatments and methods to improve the quality of care..

  • 10 Great Places to Find Free Datasets for Your Next Project

    1. Google Dataset Search
    2. Kaggle
    3. Data
    4. .Gov.
    5. Datahub
    6. .io.
    7. UCI Machine Learning Repository
    8. Earth Data
    9. CERN Open Data Portal
    10. Global Health Observatory Data Repository
  • A dataset (also spelled 'data set') is a collection of raw statistics and information generated by a research study.
    Several resources may be consulted and strategies applied in order to locate the actual datasets used in a research article.
Dental data refers to various types of information collected in the field of dentistry, including clinical records, imaging data, laboratory results, and research data. It provides insights into oral health conditions, treatment plans, and patient outcomes.
There are 10 dental datasets available on data.world. Find open data about dental contributed by thousands of users and organizations across the world. ThisĀ 

Can deep learning be used to recognize dental prostheses and restorations?

The purpose of this study is to develop a method for recognizing dental prostheses and restorations of teeth using a deep learning

A dataset of 1904 oral photographic images of dental arches (maxilla: 1084 images; mandible: 820 images) was used in the study

How big is a dataset?

It is recognized that the dataset size is usually around 1000 which is quite low compared to fields outside of medical imaging

Even with this amount of data, DENTECT works considerably good

If the dataset size were to increase, the performance of DENTECT would improve drastically

How many types of dental prostheses and restorations are there?

A deep-learning method to recognize the 11 types of dental prostheses and restorations was developed using TensorFlow and Keras deep learning libraries

After completion of the learning procedure, the average precision of each prosthesis, mean average precision, and mean intersection over union were used to evaluate learning performance


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