Sökning: "Claes Lundström"
Visar resultat 6 - 8 av 8 avhandlingar innehållade orden Claes Lundström.
6. Automatic Melanoma Diagnosis in Dermoscopic Imaging Base on Deep Learning System
Sammanfattning : Melanoma is one of the deadliest forms of cancer. Unfortunately, its incidence rates have been increasing all over the world. One of the techniques used by dermatologists to diagnose melanomas is an imaging modality called dermoscopy. The skin lesion is inspected using a magnification device and a light source. LÄS MER
7. Generalisation and reliability of deep learning for digital pathology in a clinical setting
Sammanfattning : Deep learning (DL) is a subfield of artificial intelligence (AI) focused on developing algorithms that learn from data to perform some tasks that can aid humans in their daily life or work assignments. Research demonstrates the potential of DL in supporting pathologists with routine tasks like detecting breast cancer metastases and grading prostate cancer. LÄS MER
8. Deep Learning for Digital Pathology in Limited Data Scenarios
Sammanfattning : The impressive technical advances seen for machine learning algorithms in combination with the digitalization of medical images in the radiology and pathology departments show great promise in introducing powerful image analysis tools for image diagnostics. In particular, deep learning, a subfield within machine learning, has shown great success, advancing fields such as image classification and detection. LÄS MER