no code implementations • 17 Nov 2023 • Yao-Shun Chuang, Xiaoqian Jiang, Chun-Teh Lee, Ryan Brandon, Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji
This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt.
no code implementations • 17 Nov 2023 • Yao-Shun Chuang, Chun-Teh Lee, Ryan Brandon, Trung Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji, Xiaoqian Jiang
This study aimed to utilize text processing and natural language processing (NLP) models to mine clinical notes for the diagnosis of periodontitis and to evaluate the performance of a named entity recognition (NER) model on different regular expression (RE) methods.
no code implementations • 27 Sep 2021 • Tanjida Kabir, Chun-Teh Lee, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Luyao Chen, Muhammad F Walji, Xioaqian Jiang, Shayan Shams
We developed an end-to-end deep learning network HYNETS (Hybrid NETwork for pEriodoNTiTiS STagES from radiograpH) by integrating segmentation and classification tasks for grading periodontitis from periapical radiographic images.
no code implementations • 24 Sep 2021 • Chun-Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams
Conclusion: The proposed DL model provides reliable RBL measurements and image-based periodontal diagnosis using periapical radiographic images.