更正:比较两种机器学习模型使用根尖周X光片检测和分类根尖周病变的准确性。

IF 1.6 3区 医学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE Oral Radiology Pub Date : 2024-11-16 DOI:10.1007/s11282-024-00783-1
Do Hoang Viet, Le Hoang Son, Do Ngoc Tuyen, Tran Manh Tuan, Nguyen Phu Thang, Vo Truong Nhu Ngoc
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Correction: Comparing the accuracy of two machine learning models in detection and classification of periapical lesions using periapical radiographs.
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来源期刊
Oral Radiology
Oral Radiology DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
4.20
自引率
13.60%
发文量
87
审稿时长
>12 weeks
期刊介绍: As the official English-language journal of the Japanese Society for Oral and Maxillofacial Radiology and the Asian Academy of Oral and Maxillofacial Radiology, Oral Radiology is intended to be a forum for international collaboration in head and neck diagnostic imaging and all related fields. Oral Radiology features cutting-edge research papers, review articles, case reports, and technical notes from both the clinical and experimental fields. As membership in the Society is not a prerequisite, contributions are welcome from researchers and clinicians worldwide.
期刊最新文献
Correction: Comparing the accuracy of two machine learning models in detection and classification of periapical lesions using periapical radiographs. How does the direction of region of interest selection affect the fractal dimension? Radiological assessment of Sella Turcica morphology correlates with skeletal classes in an Austrian population: an observational study. Fractal dimension, lacunarity, and bone area fraction analysis of peri-implant trabecular bone after prosthodontic loading. Automatic segmentation and visualization of cortical and marrow bone in mandibular condyle on CBCT: a preliminary exploration of clinical application.
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