Breast cancer and medical imaging /

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"Version: 20240301"--Title page verso.Includes bibliographical references.1. Introduction -- 2. Breast cancer stages and risk factors -- 2.1. Background -- 2.2. Breast cancer stages -- 2.3. Breast cancer risk factors3. Breast cancer prevention and breast cancer types -- 3.1. Breast cancer prevention -- 3.2. Breast cancer control -- 3.3. Breast cancer symptoms -- 3.4. Breast cancer types -- 3.5. Prevalence of breast cancer in young women -- 3.6. Breast cancer and pregnancy -- 3.7. Breast cancer in men4. Breast cancer treatments -- 4.1. Surgery -- 4.2. Chemotherapy -- 4.3. Radiotherapy (RT) -- 4.4. Hormone treatment -- 4.5. Biological therapy (targeted therapy) -- 4.6. Complementary and alternative medicine (CAM) -- 4.7. Breast cancer recurrence -- 4.8. Blood marker test5. Medical imaging -- 5.1. Background -- 5.2. Ionising radiation medical imaging techniques6. Non-ionising radiation medical imaging techniques -- 6.1. Ultrasound imaging (USI) -- 6.2. Magnetic resonance imaging (MRI)7. Radionuclide medical imaging techniques -- 7.1. Introduction -- 7.2. Medical image analysis -- 7.3. DICOM standard and Merge PACS -- 7.4. Medical image quality -- 7.5. Artificial intelligence (AI) and breast cancer imaging8. Breast cancer and medical imaging clinical case studies -- 8.1. Information governance -- 8.2. Introduction to genetic counselling -- 8.3. Dense breast tissue case -- 8.4. Metastatic breast cancer case -- 8.5. High grade (G3) triple-negative metaplastic breast cancer9. Discussion and conclusion -- 9.1. Discussion -- 9.2. Conclusion -- 9.3. Recommendations -- 9.4. Implications.Full-text restricted to subscribers or individual document purchasers.Breast cancer is a disease that develops in the breast cells and progresses in stages. A few early symptoms may include a new lump in the underarm or in the breast, itching or discharge from the nipple, and skin texture change of the nipple or breast. Approximately 1.3 million people per year worldwide are diagnosed with this condition. As with any cancer, early detection is a key to less traumatic treatment and ultimately complete recovery. Part of IOP Series in Medical and Biological Image Analysis.General/trade, professional and scholarly.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Mohammed Erkhawan Hameed Rasheed is a Chartered Scientist (CSci) and appointed Honorary Visiting Researcher within the Medical and Healthcare Technology Team in the Biomedical and Electronics Engineering Department, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK. He works as the Principal Investigator (PI) in Clinical Cancer Research on clinical case studies of various cancer types with focus on genetic testing, medical imaging and treatments. He is also the Research Scientist in charge of investigating artificial intelligence (AI) and machine learning techniques for the enhancement of medical imaging modalities used for breast cancer and other types of cancer. He holds a PhD in Medical and Healthcare Technology from the University of Bradford, and he is a Fellow of the Institute of Biomedical Science. Mansour Youseffi is a Reader in Biomaterials and Admission Tutor for the undergraduate and postgraduate MSc programmes within the Biomedical and Electronics Engineering Department, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK. He lectures in the following modules as the module leader: Materials Science and Engineering, Rehabilitation and Prosthetics, Functional Anatomy and Human Physiological Measurements, Biomaterials with ImplantDesign and Technology, Clinical Biomechanics, Cell and Tissue Biology, Regenerative Medicine, and Design Build and Test. He holds a PhD in Engineering from Loughborough University of Technology, Loughborough, UK and he is a Registered Practitioner and Fellow of the Higher Education Academy.Title from PDF title page (viewed on April 11, 2024).

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Series Title

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Call Number

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Publisher

: .,

Collation

1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9780750357098

Classification

616.994490757

Content Type

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Media Type

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Carrier Type

-

Edition

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Subject(s)

Radiology.
Breast
Breast Neoplasms
Pre-clinical medicine - basic sciences.
Image Processing, Computer-Assisted

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Statement of Responsibility

Mohammed Erkhawan Hameed Rasheed, Mansour Youseffi.

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