Orthopedics | Radiology An Efficient Muscle Segmentation Method Via Bayesian Fusion of Probabilistic Shape Modeling and Deep Edge Detection. June 18, 2024
Oncology | Pathology A Deep Multi-Task Network to Learn Tumor Pathological Representations for Lymph Node Metastasis Prediction. January 25, 2024
Machine Learning | Oncology | Radiology A Multi-modal Heterogeneous Graph Forest to Predict Lymph Node Metastasis of Non-small Cell Lung Cancer. April 5, 2023
Nuclear Medicine | Oncology | Radiology PET-guided attention for prediction of microvascular invasion in preoperative hepatocellular carcinoma on PET/CT. February 1, 2023
Bioinformatics | Deep Learning | Protein Science Prediction of protein secondary structure based on an improved channel attention and multiscale convolution module. August 8, 2022
Computer Science | Oncology | Radiology Deep learning-based multimodal image analysis for cervical cancer detection. May 22, 2022
Oncology | Radiology Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. January 28, 2022
Oncology | Radiology Automatic Extraction of Lung Cancer Staging Information From Computed Tomography Reports: Deep Learning Approach. July 21, 2021
Computer Vision | Machine Learning Zero-Shot Action Recognition with Three-Stream Graph Convolutional Networks. June 2, 2021
Radiology An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. December 31, 2020
Oncology | Pathology | Radiology Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans. June 30, 2020