A5024790685- Radiomics and Machine Learning in Medical Imaging
- Legume Nitrogen Fixing Symbiosis
- Colorectal Cancer Screening and Detection
- Genomics and Phylogenetic Studies
- Soybean genetics and cultivation
- Gastric Cancer Management and Outcomes
- Genetic factors in colorectal cancer
- Colorectal and Anal Carcinomas
- Lung Cancer Diagnosis and Treatment
- AI in cancer detection
- Colorectal Cancer Surgical Treatments
- Lung Cancer Treatments and Mutations
Harbin Institute of Technology
2023-2024
Sun Yat-sen University
2022-2023
Sixth Affiliated Hospital of Sun Yat-sen University
2022-2023
Heilongjiang Institute of Technology
2023
Soybean (Glycine max) stands as a globally significant agricultural crop, and the comprehensive assembly of its genome is paramount importance for unraveling biological characteristics evolutionary history. Nevertheless, previous soybean assemblies have harbored gaps incompleteness, which constrained in-depth investigations into soybean. Here, we present Telomere-to-Telomere (T2T) Chinese cultivar Zhonghuang 13 (ZH13) genome, termed ZH13-T2T, utilizing PacBio Hifi ONT ultralong reads. We...
Deep learning facilitates complex medical data analysis and is increasingly being explored in colorectal cancer diagnostics. However, the training cost of deep model limits its real-world utility. In this study, we present a composite network that combines unsupervised K-means clustering algorithm (RK-net) for automatic processing images. RK-net was more efficient image refinement compared with manual screening annotation. The diagnosis accelerated by two times utilization RK-net-processed...
Abstract Background Stratification of DNA mismatch repair (MMR) status in patients with colorectal cancer (CRC) enables individual clinical treatment decision making. The present study aimed to develop and validate a deep learning (DL) model based on the pre-treatment CT images for predicting MMR CRC. Methods 1812 eligible participants (training cohort: n = 1124; internal validation 482; external 206) CRC were enrolled from two institutions. All pretherapeutic three dimensions trained by...
Abstract Soybean ( Glycine max ) stands as a globally significant agricultural crop, and the comprehensive assembly of its genome is paramount importance for unraveling biological characteristics evolutionary history. Nevertheless, previous soybean assemblies have harbored gaps incompleteness, which constrained in-depth investigations into soybean. Here, we present first Telomere-to-Telomere (T2T) Chinese cultivar “Zhonghuang 13” (ZH13) genome, termed ZH13-T2T, utilizing PacBio Hifi ONT...