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The proposed multimodal segmentation framework, named EPIDSeg-Net, comprises an encoder, a multi-scale feature layer, and a decoder. The encoder utilizes a dual-branch architecture: a CNN branch for extracting local texture featu...

Background: Respiratory and gastrointestinal movements induce motion artifacts in cone-beam computed tomography (CBCT), compromising image quality for adaptive radiotherapy. Existing approaches, including phase-binned four-dimens...

To establish the equivalence of dual-energy 120kVp-like virtual monochromatic images (VMIs) to 120kVp standard single-energy CT images in terms of electron density, image quality, and as applied to clinically representative exter...