Potential Role of Artificial Intelligence in Breast Cancer Detection- A Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50019470" target="_blank" >RIV/62690094:18450/22:50019470 - isvavai.cz</a>
Result on the web
<a href="https://ijettjournal.org/archive/ijett-v70i7p214" target="_blank" >https://ijettjournal.org/archive/ijett-v70i7p214</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14445/22315381/IJETT-V70I7P214" target="_blank" >10.14445/22315381/IJETT-V70I7P214</a>
Alternative languages
Result language
angličtina
Original language name
Potential Role of Artificial Intelligence in Breast Cancer Detection- A Review
Original language description
Breast cancer remains a major cause of mortality in females worldwide. Detecting breast cancer at earlier stages would make a significant difference among the global population. Artificial intelligence (AI) has made its way to concern for developing technologies and approaches for detecting cancer at earlier stages, artificial intelligence (AI) has made its way. Recent research by scientific experts has concentrated on this automated process. The major advantages of enhancing the research on this particular field involving AI in detection are due to the usage of deep learning algorithms (software) and the hardware capable of using the complex and complicated algorithms of AI. The advantages also include the accessibility of larger datasets required for AI training approaches. The identification and detection of breast cancer have been performed using mammograms, ultrasound, histopathology, magnetic resonance imaging, or a conjunction of these imaging techniques in an automated manner. Combining image-specific findings and underlying genetic, pathologic, and clinical characteristics in breast cancer is becoming increasingly valuable. Radiologists now have more diagnostic tools and image collections to study and interpret because of the introduction of innovative imaging modalities. Integrating an AI-based workflow into breast imaging allows many data streams to be combined into strong multidisciplinary applications, perhaps leading to tailored patient-specific therapy. The current article analyses the role of AI in the early detection of breast cancer. © 2022 Seventh Sense Research Group®.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Engineering Trends and Technology
ISSN
2349-0918
e-ISSN
2231-5381
Volume of the periodical
70
Issue of the periodical within the volume
7
Country of publishing house
IN - INDIA
Number of pages
10
Pages from-to
130-139
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85135088441