Sökning: "AI-algoritmer"
Visar resultat 1 - 5 av 9 uppsatser innehållade ordet AI-algoritmer.
1. Hanteringen av etiska dilemman : Vid implementeringen av AI-algoritmer
Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : Denna studie syftar till att undersöka hur människor som skapar och implementerar AI-algoritmer förhåller sig till etiska dilemman som de möter i samband med sitt arbete. Målet var att fastställa vilka etiska dilemman som finns, svårigheter och åsikter kopplade till dessa samt hur de kan hanteras. LÄS MER
2. Risks and Risk Mitigation Strategies Related to AI in Medical Imaging : A Qualitative Case Study of Implementing AI in Screening Mammography
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : AI in medical imaging is promising. Breast cancer screening has particularly seen advancements as researchers have demonstrated how commercially available AI algorithms could detect breast cancer at the same level as the best radiologists. LÄS MER
3. Context-aware Data Plausibility Check Using Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the last two decades, computing and storage technologies have experienced enormous advances. Leveraging these recent advances, AI is making the leap from traditional classification use cases to automation of complex systems through advanced machine learning and reasoning algorithms. LÄS MER
4. Att använda AI för att detektera bröstcancer : En explorativ studie kring användning av bildanalys inom svensk sjukvård
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Breast cancer is the most common form of cancer for women around the world. In an attempt to decrease the mortality, women in Sweden between the ages of 40-74 years are called to regular mammography screenings to detect the disease as early as possible. Despite this, around 1400 die from the disease every year in Sweden. LÄS MER
5. Semi-Supervised Medical Image Segmentation with Equivariance Regularization
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The last decades of research in machine learning and deep learning have lead to enormous advancements in the field. One of the areas that stand to gain the most from this is the medical sector. LÄS MER