A5006168754- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Trauma Management and Diagnosis
- Spinal Fractures and Fixation Techniques
- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Advanced Image Fusion Techniques
- Medical Image Segmentation Techniques
- Shoulder and Clavicle Injuries
Chongqing Normal University
2024-2025
Abstract Background Accurate detection and grading of fresh rib fractures are crucial for patient management but remain challenging due to the complexity structures on CT images. Methods Chest images from 383 patients with were retrospectively analyzed. The dataset was divided into a training set ( n = 306) an internal testing 77). An external 50 public RibFrac included. Fractures classified severe non-severe categories. A modified YOLO-based deep learning model developed grading....
Purpose: Accurate segmentation of medical images is critical for disease diagnosis, surgical planning and prognostic assessment. TransUNet, a hybrid CNN-Transformer-based method, extracts local features using CNN compensates the lack long-range dependencies through self-attention mechanism. However, initial focus on extracting from specific regions impacts generation subsequent global features, thus constraining model’s capacity to effectively capture broader range semantic information....
<title>Abstract</title> Background Accurate detection and grading of fresh rib fractures are crucial for patient management but remain challenging due to the complexity structures on CT images. Methods Chest images from 383 patients with were retrospectively analyzed. The dataset was divided into a training set (n = 306) an internal testing 77). An external 50 public RibFrac included. Fractures classified severe non-severe categories. A modified YOLO-based deep learning model developed...
A novel progressive image transmission scheme that is capable of achieving good reconstructed quality at a low computational cost proposed. The quadtree segmentation technique employed to exploit the spatial similarity among neighbouring pixels. Besides, mean values and absolute moment block truncation coding with bit plane omission are used encode smooth blocks complex respectively. By choosing suitable controlling thresholds in technique, multiple stages images can be obtained rates.