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1,660 results on '"Li, Baosheng"'

15. Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking

Author

Liu, Li, Chen, Da, Shu, Minglei, Li, Baosheng, Shu, Huazhong, Paques, Michel, and Cohen, Laurent D.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Tubular structure tracking is a crucial task in the fields of computer vision and medical image analysis. The minimal paths-based approaches have exhibited their strong ability in tracing tubular structures, by which a tubular structure can be naturally modeled as a minimal geodesic path computed with a suitable geodesic metric. However, existing minimal paths-based tracing approaches still suffer from difficulties such as the shortcuts and short branches combination problems, especially when dealing with the images involving complicated tubular tree structures or background. In this paper, we introduce a new minimal paths-based model for minimally interactive tubular structure centerline extraction in conjunction with a perceptual grouping scheme. Basically, we take into account the prescribed tubular trajectories and curvature-penalized geodesic paths to seek suitable shortest paths. The proposed approach can benefit from the local smoothness prior on tubular structures and the global optimality of the used graph-based path searching scheme. Experimental results on both synthetic and real images prove that the proposed model indeed obtains outperformance comparing with the state-of-the-art minimal paths-based tubular structure tracing algorithms.

Published
2020

18. Clinical consensus on the treatment of locally advanced squamous cell carcinoma of the head and neck with anti-EGFR monoclonal antibody (2023 edition)

Author

XU Tingting, HU Chaosu, LI Baosheng

Subjects
anti-egfr monoclonal antibody, locally advanced, squamous cell carcinoma of the head and neck, clinical consensus, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Squamous cell carcinoma of the head and neck (SCCHN) is the most common head and neck tumor. Patients are generally diagnosed with advanced stage attributed to no clinically evident symptom at the early stage. For locally advanced SCCHN, cisplatin-based concurrent chemoradiotherapy (CRT) is the standard non-surgical treatment. However, the tolerance to high-dose cisplatin is poor owing to the high prevalence of comorbidities in patients with SCCHN. There are also concerns on the acute and late toxicities of CRT. Epidermal growth factor receptor (EGFR) is proved to be overexpressed in most SCCHN and it is associated with resistance to cytotoxic agents and radiotherapy leading to poor prognosis. Anti-EGFR antibody, which competes with EGFR ligands, can lead to receptor internalization, antibody-receptor complex down-regulation and tumor death. In addition, anti-EGFR antibody can play a role in radiosensitization by affecting cell cycle, DNA damage repair and angiogenesis. Radiotherapy combined with anti-EGFR antibody was demonstrated to improve survival when compared to radiotherapy alone, while consensus on anti-EGFR antibody delivery in the eligible patients, optimal intervention time and the management of adverse effects when combined with radiotherapy are yet warranted. According to the current recommendations, all patients with locally advanced SCCHN should be assessed for the tolerance of standard dose cisplatin prior to CRT. Radiotherapy with cetuximab is an alternative for patients who cannot tolerate. For those who received induction chemotherapy with the purpose of tumor downstaging or organ preservation, the standard regimen is TPF (docetaxel+cisplatin+5-fluorouracil) scheme. TPE scheme, using cetuximab as a substitution for fluorouracil, is an option for toxicities reducing. Managements of skin reactions, oral mucositis and radiation dermatitis are proposed.

Published
2023
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40. Accurate location describe and management of lymph node recurrence after esophagectomy for thoracic esophageal squamous cell carcinoma：a retrospective cohort study

Author

Zhao, Qian, primary, Sun, Jinglong, additional, Zheng, Feng, additional, Dan Han, MD, additional, Fu, Chengrui, additional, Sun, Hongfu, additional, Liu, Chengxin, additional, Wang, Zhongtang, additional, Huang, Wei, additional, Wang, Ruozheng, additional, and Li, Baosheng, additional

Published
2024
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50. A Prognosis Method for Esophageal Squamous Cell Carcinoma Based on CT Image and Three-Dimensional Convolutional Neural Networks

Author

Fan, Kaipeng, Guo, Jifeng, Yang, Bo, Wang, Lin, Peng, Lizhi, Li, Baosheng, Zhu, Jian, Abraham, Ajith, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Siarry, Patrick, editor, Ma, Kun, editor, and Kaklauskas, Arturas, editor

Published
2021
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