This doctoral dissertation investigates the development, improvement, and evaluation of Deep Learning methods for sequential decision-making in complex and dynamic systems. Such systems are characterized by temporal dependencies, uncertainty, noisy observation…
Brain tumors are among the most serious categories of neurological disease, with accurate classification from magnetic resonance imaging (MRI) playing a critical role in treatment planning and patient outcomes.Manual interpretation of MRI scans by radiologists…
Recent advances in machine learning and deep learning have achieved remarkable success across a wide range of applications, yet they largely rely on data-driven paradigms that assume the training and test data share similar distributions. In real-world scenari…
[eng] This thesis advances automated medical image analysis by introducing four deep learning frameworks that systematically address core technical barriers to clinical deployment, including computational efficiency, variability in image quality, and the robus…
Medical image segmentation is a critical task in computer-assisted diagnosis and therapy planning. Accurate and efficient fully automated segmentation methods are essential for accelerating decision-making processes. Compared with natural image segmentation me…
Medical image segmentation (MIS) plays a fundamental role in a wide range of medical image analysis applications. Over the past decade, MIS has been significantly advanced by deep learning (DL). However, the effectiveness of DL-based methods typically depends…
The widespread adoption of deep learning has led to a surge in demand for the efficient deployment of Deep Neural Networks (DNNs) on embedded and resource-constrained systems. These platforms are increasingly tasked with performing complex inference workloads…
Traditional facial recognition systems are no longer as effective due to the widespread use of face masks. To overcome this difficulty, the study suggests a facial recognition (FR) system based on a unified framework specifically designed for partial facial oc…
Človeški obraz predstavlja eno od najpomembnejših biometričnih značilnosti, saj združuje informacijo o identiteti, spolu, starosti in čustvenem izrazu. V tem okviru se detekcija in prepoznavanje obrazov kažeta kot dva neločljivo povezana procesa. V magistrski…
Actualmente, las aplicaciones de visión por computadora, que incluyen la conducción autónoma, la detección de fallas, la imagenología médica y la teledetección, son cada vez más frecuentes y necesitan mecanismos de segmentación o clasificación de píxeles más p…
Medical imaging technologies, such as magnetic resonance imaging (MRI) and computed tomography (CT), are invaluable tools in modern medicine - allowing for safe, non-invasive diagnosis and treatment planning. However, leveraging these imaging techniques for sc…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
