Sökning: "Albert Sund Aillet"

Hittade 2 uppsatser innehållade orden Albert Sund Aillet.

1. 1. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Albert Sund Aillet; [2023]
   Nyckelord :Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

   Sammanfattning : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. LÄS MER

3. 2. Assessing the Impact of Stain Normalization on a Cell Classification Model in Digital Histopathology

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Filip Frisk; Albert Sund Aillet; [2021]
   Nyckelord :Digital pathology; Machine learning; Color normalization;

   Sammanfattning : In the field of digital histopathology, computeraideddiagnosis of digitized tissue samples with computationalalgorithms is a rising research field. The tissue samples in thisstudy are stained using chemicals that enhance the recognizabilityof different tissue structures. LÄS MER