Essays about: "breast imaging"
Showing result 1 - 5 of 32 essays containing the words breast imaging.
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1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
University essay from Lunds universitet/Matematik LTHAbstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE
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2. Evaluating image analysis techniques for ultrasound optical tomography in breast tissue
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Breast cancer is the most commonly diagnosed cancer in the world today and early detection is crucial to minimize the mortality. ”Ultrasound optical tomography” (UOT) is a method under development for deep tissue imaging. READ MORE
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3. Improving the experimental setup for ultrasound-optical tomography imaging
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : According to Bröstcancer förbundet, mammography is not efficient at detecting tumors in dense breast tissue or diagnosing breast cancer at its early stages. Ultrasound-optical tomography (UOT) is an imaging technique in development and has the potential for deep-tissue imaging. READ MORE
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4. Risks and Risk Mitigation Strategies Related to AI in Medical Imaging : A Qualitative Case Study of Implementing AI in Screening Mammography
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : AI in medical imaging is promising. Breast cancer screening has particularly seen advancements as researchers have demonstrated how commercially available AI algorithms could detect breast cancer at the same level as the best radiologists. READ MORE
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5. Automated HER2 Scoring of Breast Cancer Tissue using Upconverting Nanoparticle Images
University essay from Lunds universitet/Matematik LTHAbstract : Computer aided pathology is becoming more and more of a requirement within pathology due to increased demand of individualised treatments and personalised medicine. Because of the advance of digital pathology in recent years, where a high resolution camera acquire images of microscope slides, pathologists can now assess tissue samples in digital images. READ MORE