An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images

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.

Multi-Task Learning Segmentation

Use of the Deep Learning Approach to Measure Alveolar Bone Level

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.