Radiation Oncology | Radiology A transformer-based multi-task deep learning model for simultaneous T-stage identification and segmentation of nasopharyngeal carcinoma. July 1, 2024
Medical Imaging | Oncology | Radiology An automated two-stage approach to kidney and tumor segmentation in CT imaging. June 14, 2024
Oncology | Radiology DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images. May 31, 2024
Radiation Oncology | Radiology Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test. May 31, 2024
Oncology | Radiology Exploring and Exploiting Multi-modality Uncertainty for Tumor Segmentation on PET/CT. May 22, 2024
Pediatric Neuro-oncology | Radiology Human-Level Differentiation of Medulloblastoma from Pilocytic Astrocytoma: A Real-World Multicenter Pilot Study. April 27, 2024
Pathology | Radiology | Surgery From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery. April 20, 2024
Oncology | Surgery Tumor Segmentation in Intraoperative Fluorescence Images Based on Transfer Learning and Convolutional Neural Networks. April 15, 2024
Radiology POST-HOC EXPLAINABILITY OF BI-RADS DESCRIPTORS IN A MULTI-TASK FRAMEWORK FOR BREAST CANCER DETECTION AND SEGMENTATION. April 4, 2024
Medical Imaging | Oncology | Radiology WET-UNet: Wavelet integrated efficient transformer networks for nasopharyngeal carcinoma tumor segmentation. April 3, 2024
Oncology | Radiology RT-SRTS: Angle-agnostic real-time simultaneous 3D reconstruction and tumor segmentation from single X-ray projection. April 3, 2024
Oncology | Radiology Multi-scale adversarial learning with difficult region supervision learning models for primary tumor segmentation. March 12, 2024