Abstract: Machine learning algorithm for multi-modal image segmentation is extensively employed in medical analysis and diagnosis. Clustering represents a mainstream approach for image segmentation, ...
Data sharing is essential for advancing research in radiation oncology, particularly for training artificial intelligence (AI) models in medical imaging. However, privacy concerns necessitate ...
With its significant presence in the United States, STIHL-branded products are some of the most popular outdoor power equipment on the market. With a wide catalog of products, STIHL manufactures lawn ...
Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of microscopic pore ...
BiRefNet C++ TENSORRT is designed to efficiently run bilateral reference segmentation tasks on the GPU. By harnessing TensorRT’s optimizations and CUDA kernels, it aims to deliver state-of-the-art ...
Abstract: C-means clustering algorithms have proven effective for image segmentation, but are limited by the following aspects: 1) the determination of a priori number of clusters. If the number of ...
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