We present an efficient deep learning approach for the challenging task of tumor segmentation in multisequence MR images. In recent years, Convolutional Neural Networks (CNN) have achieved ...
Abstract: In recent years, with the advancement of medical imaging technology, medical image segmentation has played a key role in assisting diagnosis and treatment planning. Current deep ...
Abstract: Positron range (PR) blurring degrades positron emission tomography (PET) image resolution, particularly for high-energy emitters like 68Ga. We introduce Dual-Input Dynamic Convolution ...
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
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