5 papers
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
Soroush Oskouei, Marit Valla, André Pedersen +10
Considering the increased workload in pathology laboratories today, automated tools such as artificial intelligence models can help pathologists with their tasks and ease the workl…
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU
Matias Gran-Henriksen, Hans Andreas Lindgaard, Gabriel Kiss +1
This paper introduces Deep HM-SORT, a novel online multi-object tracking algorithm specifically designed to enhance the tracking of athletes in sports scenarios. Traditional multi-…
Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks
Mamoona Birkhez Shami, Gabriel Kiss, Trond Arve Haakonsen +1
Geolocation is integral to the seamless functioning of autonomous vehicles and advanced traffic monitoring infrastructures. This paper introduces a methodology to geolocate road ob…
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation
Vemund Fredriksen, Svein Ole M. Svele, André Pedersen +3
Purpose: Automating tasks such as lung tumor localization and segmentation in radiological images can free valuable time for radiologists and other clinical personnel. Convolutiona…
Joint Beamforming and Feature Detection for Enhanced Visualization of Spinal Bone Surfaces in Ultrasound Images
Saeed Mehdizadeh, Sebastien Muller, Gabriel Kiss +2
We propose a framework for extracting the bone surface from B-mode images employing the eigenspace minimum variance (ESMV) beamformer and a ridge detection method. We show that an…