2 papers
eess.IV2025
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images
Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier +1
This study explores the application of supervised and unsupervised autoencoders (AEs) to automate nuclei classification in clear cell renal cell carcinoma (ccRCC) images, a diagnos…
cs.CV2024
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
Raphael van Kempen, Tim Rehbronn, Abin Jose +4
Automated vehicles require an accurate perception of their surroundings for safe and efficient driving. Lidar-based object detection is a widely used method for environment percept…