CNN
CNN (Medical Term)
CNN (== Template:IPA ==
The Template:IPA (International Phonetic Alphabet) is a system of phonetic notation based primarily on the Latin alphabet. It was devised by the International Phonetic Association in the late 19th century as a standardized representation of the sounds of spoken language.
Pronunciation
The pronunciation of the term "IPA" is /aɪ piː eɪ/ in English.
Etymology
The term "IPA" is an acronym for the International Phonetic Alphabet. The International Phonetic Association, founded in 1886, created the IPA to provide a single, universal system for the transcription of spoken language.
Related Terms
- Phonetic notation: A system used to visually represent the sounds of speech. The IPA is one type of phonetic notation.
- Phonetics: The study of the physical sounds of human speech. It is concerned with the physical properties of speech sounds (phonemes), and the processes of their physiological production, auditory reception, and neurophysiological perception.
- Phonology: The study of the way sounds function within a particular language or languages. While phonetics concerns the physical production, acoustic transmission and perception of the sounds of speech, phonology describes the way sounds function within a particular language or languages.
- Transcription (linguistics): The systematic representation of spoken language in written form. The source of the words transcribe and transcription, the term means "to write across" in Latin, and it's the process of converting spoken language into written form. In linguistics, this is often done using the IPA.
External links
- Medical encyclopedia article on CNN
- Wikipedia's article - CNN
This WikiMD dictionary article is a stub. You can help make it a full article.
Languages: - East Asian
中文,
日本,
한국어,
South Asian
हिन्दी,
Urdu,
বাংলা,
తెలుగు,
தமிழ்,
ಕನ್ನಡ,
Southeast Asian
Indonesian,
Vietnamese,
Thai,
မြန်မာဘာသာ,
European
español,
Deutsch,
français,
русский,
português do Brasil,
Italian,
polski), in the context of medical terminology, is an acronym that stands for Convolutional Neural Network.
Etymology
The term "Convolutional Neural Network" originates from the mathematical operation called "convolution", which is a fundamental concept in the field of signal processing. The term "neural network" is derived from the biological neural networks found in the human brain, which the artificial neural networks are designed to emulate.
Definition
A Convolutional Neural Network (CNN) is a type of Artificial Neural Network designed to process data with a grid-like topology, such as an image. CNNs are particularly effective for tasks related to image and speech recognition, natural language processing, and other data-rich inputs.
Structure
A CNN consists of an input layer, multiple hidden layers, and an output layer. The hidden layers often include convolutional layers, pooling layers, fully connected layers, and normalization layers. Each layer of a CNN transforms the input data to bring out useful features for the task at hand.
Application in Medicine
In the medical field, CNNs are used in a variety of applications such as medical image analysis, disease prediction, and patient monitoring. For example, CNNs can be used to analyze MRI scans or X-ray images to detect signs of diseases such as cancer or Alzheimer's disease.
Related Terms
External links
- Medical encyclopedia article on CNN
- Wikipedia's article - CNN
This WikiMD dictionary article is a stub. You can help make it a full article.
Languages: - East Asian
中文,
日本,
한국어,
South Asian
हिन्दी,
Urdu,
বাংলা,
తెలుగు,
தமிழ்,
ಕನ್ನಡ,
Southeast Asian
Indonesian,
Vietnamese,
Thai,
မြန်မာဘာသာ,
European
español,
Deutsch,
français,
русский,
português do Brasil,
Italian,
polski