Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 4 of 4 for “"Medical imaging analysis"”.

  1. AI-driven Automated Medical Imaging Analysis

    <p>Medical imaging has been applied widely in many clinical diagnoses to detect and differentiate abnormalities by revealing the internal structure of the human body at normal anatomical and physiological levels. Manual analyzing medical images demands attention and is time-consuming, requiring …

    cuny Repository record for AI-driven Automated Medical Imaging Analysis (opens in a new tab)

  2. Advancing Healthcare with GenerativeAI: A Multifaceted Approach to Reliable Medical Information and Innovation

    … reshaping the way we approach patient care, medical research, and healthcare delivery. This thesis explores the journey of AI in healthcare, from its early beginnings to the current landscape of highly sophisticated conversational AI systems. We first delve into the myriad applications of …

    mit Repository record for Advancing Healthcare with GenerativeAI: A Multifaceted Approach to Reliable Medical Information and Innovation (opens in a new tab)

  3. Individualized learning and integration for multi-modality data

    … which have many important applications in biomedical research, personalized education and marketing. Conventional statistical models usually fail to capture significant variation due to subject-specific effects and heterogeneity of data from multiple sources. Consequently, it has become very …

    uiuc Repository record for Individualized learning and integration for multi-modality data (opens in a new tab)

  4. Deep learning for Alzheimer’s disease: towards the development of an assistive diagnostic tool

    … a multidisciplinary collaboration in which medical domain knowledge which was obtained from experts and tissue examinations was tightly integrated with the interpretable outcomes derived from our machine learning frameworks. I demonstrated that the model, which generalized well on multiple …

    bu Repository record for Deep learning for Alzheimer’s disease: towards the development of an assistive diagnostic tool (opens in a new tab)