Sökning: "Tumor Segmentation"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Tumor Segmentation.
Sammanfattning : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. LÄS MER
Sammanfattning : There is always a need and drive to improve modern cancer care. Dynamic positron emission tomography (PET) offers the advantage of in vivo functional imaging, combined with the ability to follow the physiological processes over time. LÄS MER
Sammanfattning : The main objective of radiation therapy is to obtain the highest possible probability of tumor cure while minimizing adverse reactions in healthy tissues. A crucial step in the treatment process is to determine the location and extent of the primary tumor and its loco regional lymphatic spread in relation to adjacent radiosensitive anatomical structures and organs at risk. LÄS MER
Sammanfattning : Background: Quantification of tumor burden from bone scan in the form of automated Bone Scan Index (aBSI) has been validated as an imaging biomarker for patients with prostate cancer. Positron emission tomography combined with computed tomography (PET/CT) is more sensitive and accurate compared to conventional imaging such as bone scan. LÄS MER
5. A path along deep learning for medical image analysis : With focus on burn wounds and brain tumors
Sammanfattning : The number of medical images that clinicians need to review on a daily basis has increased dramatically during the last decades. Since the number of clinicians has not increased as much, it is necessary to develop tools which can help doctors to work more efficiently. LÄS MER