Sökning: "Image Diagnostics"
Visar resultat 1 - 5 av 52 uppsatser innehållade orden Image Diagnostics.
1. Robustness Analysis of Perfusion Parameter Calculations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. LÄS MER
2. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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. LÄS MER
3. Bilddiagnostik av barn ochungdomar vid skolios : En jämförande litteraturstudie mellan konventionell röntgen, datortomografi och entrepreneurial operating system
Kandidat-uppsats, Örebro universitet/Institutionen för hälsovetenskaperSammanfattning : Bakgrund: Konventionell röntgen, datortomografi (DT) och entrepreneurial operating system (EOS) är tre radiologiska undersökningsmetoder som kan användas för bilddiagnostik vid skolios av barn och ungdomar. Undersökningarna kan genomföras i en liggande eller stående positionering vid bedömning av ryggradens deformation. LÄS MER
4. Image Segmentation and Object Identification in Cancer Tissue Slides from Fluorescence Microscopy
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3Sammanfattning : In cancer research, there is a need to make accurate spatial measurements in multi-layered fluorescence microscopy images. Researchers would like to measure distances in and between biological objects such as nerves and tumours, to investigate questions which includes if nerve distribution in and around tumours can have a prognostic value in cancer diagnostics. LÄS MER
5. Simulating metal ct artefacts for ground truth generation in deep learning.
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER