06523nam a2200781 i 45000010014000000030004000140050017000180060019000350070015000540080041000690200025001100200024001350200025001590200027001840240035002110350025002460350022002710400040002930500026003330600025003590720015003840720023003991000055004222450093004772640098005703000071006683360021007393370026007603380032007864900027008184900056008454900034009015000043009355040041009785050147010195050294011665050279014605050096017395050131018355050230019665050275021965050117024715060075025885200511026635210047031745300029032215380036032505380078032865451607033645880058049716500036050296500038050656500015051036500049051186500057051676500015052246500059052396500077052987000039053757100061054147760049054758300031055248300064055558300034056198560059056539420012057129990017057249780750357098IOP20251030124830.0m eo d cr cn |||m|||a240411s2024 enka fob 000 0 eng d a9780750357098qebook a9780750357081qmobi z9780750357074qprint z9780750357104qmyPrint7 a10.1088/978-0-7503-5709-82doi a(CaBNVSL)thg00083915 a(OCoLC)1429908690 aCaBNVSLbengerdacCaBNVSLdCaBNVSL 4aRC280.B8bR373 2024eb 4aWP 870bR224b 2024eb 7aMF2bicssc 7aMED0030702bisacsh1 aRasheed, Mohammed Erkhawan Hameed,eauthor.9970511 aBreast cancer and medical imaging /cMohammed Erkhawan Hameed Rasheed, Mansour Youseffi. 1aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :bIOP Publishing,c[2024] a1 online resource (various pagings) :billustrations (some color). atext2rdacontent aelectronic2isbdmedia aonline resource2rdacarrier1 a[IOP release $release]1 aIOP series in medical and biological image analysis1 aIOP ebooks. [2024 collection] a"Version: 20240301"--Title page verso. aIncludes bibliographical references. a1. Introduction -- 2. Breast cancer stages and risk factors -- 2.1. Background -- 2.2. Breast cancer stages -- 2.3. Breast cancer risk factors8 a3. 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 men8 a4. 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 test8 a5. Medical imaging -- 5.1. Background -- 5.2. Ionising radiation medical imaging techniques8 a6. Non-ionising radiation medical imaging techniques -- 6.1. Ultrasound imaging (USI) -- 6.2. Magnetic resonance imaging (MRI)8 a7. 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 a8. 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 cancer8 a9. Discussion and conclusion -- 9.1. Discussion -- 9.2. Conclusion -- 9.3. Recommendations -- 9.4. Implications. aFull-text restricted to subscribers or individual document purchasers.3 aBreast 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. aGeneral/trade, professional and scholarly. aAlso available in print. aMode of access: World Wide Web. aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. aMohammed 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. aTitle from PDF title page (viewed on April 11, 2024). aBreastxCancerxImaging.997052 aBreastxCancerxDiagnosis.964355 aRadiology.12aBreast Neoplasmsxdiagnostic imaging.99705322aImage Processing, Computer-Assistedxmethods.99705422aRadiology. 7aPre-clinical medicine - basic sciences.2bicssc996521 7aMEDICAL / Allied Health Services / Imaging Technologies.2bisacsh9969311 aYouseffi, Mansour,eauthor.9970552 aInstitute of Physics (Great Britain),epublisher.917702 8iPrint version:z9780750357074z9780750357104 0aIOP (Series).pRelease 24. aIOP series in medical and biological image analysis.997056 aIOP ebooks.p2024 collection.4 uhttps://iopscience.iop.org/book/mono/978-0-7503-5709-8 cE-Books c68499d68499