Artificial Intelligence Based Diagnosis for Cervical Lymph Node Malignancy Using the Point-Wise Gated Boltzmann Machine

Author:

Zhang QiORCID,Liu Yue,Han HongORCID,Shi Jun,Wang Wenping

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cerviscan: Advancing Cervical Cancer Detection through Deep Learning Innovations;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

2. A Breast Cancer Detection Model Based on Modified Convnext v2;Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum;2023-09-22

3. LN-Net: Perfusion Pattern-Guided Deep Learning for Lymph Node Metastasis Diagnosis Based on Contrast-Enhanced Ultrasound Videos;Ultrasound in Medicine & Biology;2023-05

4. CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound;2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI);2022-03-28

5. Automatic target recognition based on receiver optimization of photonic time-stretched coherent radar;Optics Letters;2022-03-04

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