Sökning: "Tumor Segmentation"
Visar resultat 1 - 5 av 14 avhandlingar innehållade orden Tumor Segmentation.
1. Advanced Machine Learning Methods for Oncological Image Analysis
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
2. Resource efficient automatic segmentation of medical images
Sammanfattning : Cancer is one of the leading causes of death worldwide. In 2020, there were around 10 million cancer deaths and nearly 20 million new cancer cases in the world. Radiation therapy is essential in cancer treatments because half of the cancer patients receive radiation therapy at some point. LÄS MER
3. Quantitative methods for tumor imaging with dynamic PET
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
4. Development of a Whole Body Atlas for Radiation Therapy Planning and Treatment Optimization
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
5. Artificial Intelligence-based Assessment of Prostate Cancer Metastases in PET/CT
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