Shuchao Chen
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View article: Novel genetic algorithm‐based individual treatment effect scoring model for optimizing decision‐making: Induction chemotherapy in nasopharyngeal carcinoma
Novel genetic algorithm‐based individual treatment effect scoring model for optimizing decision‐making: Induction chemotherapy in nasopharyngeal carcinoma Open
Traditional decision‐making models often focus on risk prediction rather than treatment effects, potentially leading to suboptimal outcomes. This study developed an individual treatment effect (ITE) model to predict the survival benefit of…
View article: KM04416 suppressed lung adenocarcinoma progression by promoting immune infiltration
KM04416 suppressed lung adenocarcinoma progression by promoting immune infiltration Open
Objectives Lung adenocarcinoma (LUAD) is a malignant tumor originating from the bronchial mucosa or glands of the lung, with the fastest increasing morbidity and mortality. Therefore, the prognosis of lung cancer remains poor. Glycerol-3-p…
View article: TdDS-UNet: top-down deeply supervised U-Net for the delineation of 3D colorectal cancer
TdDS-UNet: top-down deeply supervised U-Net for the delineation of 3D colorectal cancer Open
Automatically delineating colorectal cancers with fuzzy boundaries from 3D images is a challenging task, but the problem of fuzzy boundary delineation in existing deep learning-based methods have not been investigated in depth. Here, an en…
View article: Semi‐automatic fine delineation scheme for pancreatic cancer
Semi‐automatic fine delineation scheme for pancreatic cancer Open
Background Pancreatic cancer fine delineation in medical images by physicians is a major challenge due to the vast volume of medical images and the variability of patients. Purpose A semi‐automatic fine delineation scheme was designed to a…
View article: Multiscale feature fusion network for 3D head MRI image registration
Multiscale feature fusion network for 3D head MRI image registration Open
Background Image registration technology has become an important medical image preprocessing step with the wide application of computer‐aided diagnosis technology in various medical image analysis tasks. Purpose We propose a multiscale fea…
View article: BSMM-Net: Multi-modal neural network based on bilateral symmetry for nasopharyngeal carcinoma segmentation
BSMM-Net: Multi-modal neural network based on bilateral symmetry for nasopharyngeal carcinoma segmentation Open
Introduction Automatically and accurately delineating the primary nasopharyngeal carcinoma (NPC) tumors in head magnetic resonance imaging (MRI) images is crucial for patient staging and radiotherapy. Inspired by the bilateral symmetry of …
View article: Prognostic potential of a voxelwise invasion risk map of nasopharyngeal carcinoma based on a coordinate system of the nasopharynx
Prognostic potential of a voxelwise invasion risk map of nasopharyngeal carcinoma based on a coordinate system of the nasopharynx Open
The voxelwise TIR map provides a new method for the prognostic analysis of NPC. Potential clinical applications of voxelwise TIR mapping are clinical target volume (CTV) delineation and dose-painting for NPC.
View article: Exploration and Analysis of Cyberpunk on the Self-identification of Juvenile from the Perspective of Visual Culture
Exploration and Analysis of Cyberpunk on the Self-identification of Juvenile from the Perspective of Visual Culture Open
In the era of visual culture and the Internet media nowadays, Cyberpunk, as a kind of youth subculture, often features strong identification and distinct visual and cultural characteristics.It has given rise to the formation of large inter…
View article: Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma
Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma Open
Do nasopharyngeal carcinoma (NPC) patients benefit from induction chemotherapy (IC)? This problem is of great clinical interest; however, it is difficult to obtain an accurate and interpretable model to inform IC decisions for NPC patients…
View article: Lossless Compression of Medical Images based on the Differential Probability of Images
Lossless Compression of Medical Images based on the Differential Probability of Images Open
Lossless compression is crucial in the remote transmission of large-scale medical image and the retainment of complete medical diagnostic information. The lossless compression method of medical image based on differential probability of im…
View article: Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor
Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor Open
Automatic detection of specific anatomical points of interest (POIs) in head magnetic resonance imaging (MRI) is a technical bottleneck in medical image registration and big data analysis for head diseases. A technique for automatically re…
View article: U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images
U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images Open
The effective segmentation and 3-D rendering of the esophagus and esophageal cancer from the computed tomography (CT) images can assist doctors in diagnosing esophageal cancer. Irregular and vague boundary causes great difficulty in the se…