[HTML][HTML] A continuous learning approach to brain tumor segmentation: integrating multi-scale spatial distillation and pseudo-labeling strategies
R Li, J Ye, Y Huang, W Jin, P Xu, L Guo - Frontiers in Oncology, 2024 - frontiersin.org
Introduction This study presents a novel continuous learning framework tailored for brain
tumour segmentation, addressing a critical step in both diagnosis and treatment planning …
tumour segmentation, addressing a critical step in both diagnosis and treatment planning …
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped network
E Benedykciuk, M Denkowski, G Wójcik - arXiv preprint arXiv:2405.03420, 2024 - arxiv.org
This paper introduces a novel approach to enhance the performance of pre-trained neural
networks in medical image segmentation using Neural Architecture Search (NAS) methods …
networks in medical image segmentation using Neural Architecture Search (NAS) methods …
All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing
C Han, K Shibano, W Ozaki, K Osaki… - Medical Imaging …, 2024 - spiedigitallibrary.org
Deep Learning is advancing medical imaging Research and Development (R&D), leading to
the frequent clinical use of Artificial Intelligence/Machine Learning (AI/ML)-based medical …
the frequent clinical use of Artificial Intelligence/Machine Learning (AI/ML)-based medical …