Publications by authors named "Zhanyao Huang"
Hemorrhagic stroke is a major global health problem requiring rapid and accurate diagnosis for effective treatment. Despite advances, current computer-aided diagnosis (CAD) frameworks rarely account for the functional impacts of hemorrhages on specific critical brain regions and lack the detailed assessments essential for precise treatment. To provide detailed insights into hemorrhages, we aim to propose a CAD framework for in-depth hemorrhagic stroke assessment in computed tomography (CT).
View Article and Find Full Text PDFRadiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomography (CT) is integral for treatment planning, offering electron density data crucial for accurate dose calculations. However, accurately representing patient anatomy is challenging, especially in adaptive radiotherapy, where CT is not acquired daily.
View Article and Find Full Text PDFArticle Synopsis
- Precise segmentation of liver tumors from CT scans is crucial for clinical applications, and existing models have not effectively used multi-phase imaging information.
- The study introduces a novel multi-phase feature interaction Transformer network (MI-TransSeg) that enhances tumor segmentation and allows for evaluation of microvascular invasion (MVI) in liver tumors.
- Experimental results indicate that MI-TransSeg outperforms other models, showcasing its potential for improving liver tumor assessment using advanced multi-phase CT data.