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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • EID of the result in the Scopus database

    2-s2.0-85135088441