3 accepted papers
Self-supervised pre-training has become a key paradigm for reducing annotation costs in 3D medical imaging, yet many recent approaches rely on complex objectives or incur substantial computational overhead. We propose a simple and efficient self-supervised pre-training framework for 3D medical image
Fuzzy clustering algorithms have become essential tools in data analysis, yet they face significant challenges when dealing with complex and real-world datasets. Fuzzy C-Means (FCM) and its variants, such as Kernel FCM, Robust FCM, and Robust Kernel FCM struggle with clusters of varying densities an…
The evolution of ubiquitous sensors has led to the generation of copious amounts of waveform data. Human motion waveform analysis has found significance in clinical and home-based activity monitoring. Exploration of cluster structure in such waveform data prior to developing learning models is an im…