Differentiating between adrenocortical carcinoma and pheochromocytoma by a CT-based radiomics model: a multicenter retrospective study Adrenocortical carcinoma (ACC), a rare and highly malignant adrenal gland tumor, exhibits computed tomography (CT) characteristics that resemble those of the less malignant pheochromocytoma (PHEO). While bioch...
https://bmcmedimaging.biomedce....ntral.com/articles/1

A brain tumor segmentation enhancement in MRI images using U-Net and transfer learning This paper presents a novel transfer learning approach for segmenting brain tumors in Magnetic Resonance Imaging (MRI) images. Using Fluid-Attenuated Inversion Recovery (FLAIR) abnormality segmentation masks a...
https://bmcmedimaging.biomedce....ntral.com/articles/1

Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer Vision models to accurately predict neoadjuvant rectal (NAR) score for locally advanced rectal cancer (LARC) t...
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Comparative study for CT-guided 125I seed implantation assisted by modified and conventional 3D printing non-coplanar template in malignant tumors This study compared the outcomes of modified three-dimensional printed non-coplanar templates (3DPNCT) with those of conventional 3DPNCT for iodine-125 (125I) seed implantation in malignant tumors and analyzed as...
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Preoperative FLAIR images for identifying glioblastoma boundaries Glioblastoma is the most aggressive and rapidly growing type of central nervous system tumor. Despite advancements in imaging, no objective measurement for predicting the true extent of glioblastoma has been e...
https://bmcmedimaging.biomedce....ntral.com/articles/1