Sökning: "Milda Pocevičiūtė"

Hittade 1 avhandling innehållade orden Milda Pocevičiūtė.

1. 1. Generalisation and reliability of deep learning for digital pathology in a clinical setting

   Författare :Milda Pocevičiūtė; Claes Lundström; Stina Garvin; Gabriel Eilertsen; Nasir Rajpoot; Linköpings universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Deep learning; Digital pathology; Generalisation; Uncertainty estimation; Anomaly detection; Data distribution shift;

   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