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Biomedical Computing for Breast Cancer Detection and Diagnosis

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Title: Biomedical Computing for Breast Cancer Detection and Diagnosis
Description: Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for Breast Cancer Detection and Diagnosis is a collection of research that presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.
Authors: Wellington Pinheiro dos Santos, Washington Wagner Azevedo da Silva, Maira Araujo de Santana
Resource Type: eBook.
Subjects: Breast--Cancer--Diagnosis, Diagnostic imaging--Data processing, Diagnosis--Data processing
Categories: MEDICAL / Oncology / General, MEDICAL / Biotechnology, MEDICAL / Oncology / Breast Cancer
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2548739
RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: Biomedical Computing for Breast Cancer Detection and Diagnosis
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for Breast Cancer Detection and Diagnosis is a collection of research that presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.
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  Data: <searchLink fieldCode="AR" term="%22Wellington+Pinheiro+dos+Santos%22">Wellington Pinheiro dos Santos</searchLink><br /><searchLink fieldCode="AR" term="%22Washington+Wagner+Azevedo+da+Silva%22">Washington Wagner Azevedo da Silva</searchLink><br /><searchLink fieldCode="AR" term="%22Maira+Araujo+de+Santana%22">Maira Araujo de Santana</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Breast--Cancer--Diagnosis%22">Breast--Cancer--Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging--Data+processing%22">Diagnostic imaging--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis--Data+processing%22">Diagnosis--Data processing</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 616.99449075
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Breast--Cancer--Diagnosis
        Type: general
      – SubjectFull: Diagnostic imaging--Data processing
        Type: general
      – SubjectFull: Diagnosis--Data processing
        Type: general
    Titles:
      – TitleFull: Biomedical Computing for Breast Cancer Detection and Diagnosis
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wellington Pinheiro dos Santos
      – PersonEntity:
          Name:
            NameFull: Washington Wagner Azevedo da Silva
      – PersonEntity:
          Name:
            NameFull: Maira Araujo de Santana
      – PersonEntity:
          Name:
            NameFull: Wellington Pinheiro dos Santos
      – PersonEntity:
          Name:
            NameFull: Washington Wagner Azevedo da Silva
      – PersonEntity:
          Name:
            NameFull: Maira Araujo de Santana
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 31
              M: 07
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9781799834564
            – Type: isbn-electronic
              Value: 9781799834571
            – Type: isbn-electronic
              Value: 9781799834588
          Titles:
            – TitleFull: Biomedical Computing for Breast Cancer Detection and Diagnosis
              Type: main
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