A5029632450- Dental Radiography and Imaging
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Medical Imaging and Analysis
- Dental Implant Techniques and Outcomes
- Temporomandibular Joint Disorders
- Dysphagia Assessment and Management
- Orthodontics and Dentofacial Orthopedics
- Endodontics and Root Canal Treatments
- Bone health and osteoporosis research
- Oral and Maxillofacial Pathology
- Sinusitis and nasal conditions
- Botulinum Toxin and Related Neurological Disorders
- Cerebrovascular and Carotid Artery Diseases
- Radiomics and Machine Learning in Medical Imaging
- Tracheal and airway disorders
- Digital Radiography and Breast Imaging
- Forensic Anthropology and Bioarchaeology Studies
- Medical Image Segmentation Techniques
- Voice and Speech Disorders
- Myofascial pain diagnosis and treatment
- dental development and anomalies
- Bone health and treatments
- Facial Trauma and Fracture Management
Mizuho (Japan)
2016-2025
Asahi University
2016-2025
Aichi Gakuin University
2006-2018
Tohoku University
1996-2011
Waseda University
2009
Hiroshima University
2008
Shizuoka University
1994-1997
Objectives: The distal root of the mandibular first molar occasionally has an extra root, which can directly affect outcome endodontic therapy. In this study, we examined diagnostic performance a deep learning system for classification morphology molars on panoramic radiographs. Dental cone-beam CT (CBCT) was used as gold standard. Methods: CBCT images and radiographs 760 from 400 patients who had not undergone canal treatments were analyzed. Distal roots to determine presence single or...
The first aim of this study was to determine the performance a deep learning object detection technique in maxillary sinuses on panoramic radiographs. second clarify classification sinus lesions compared with healthy sinuses.The imaging data for (587 sinuses, Class 0), inflamed (416 1), cysts regions (171 2) were assigned training, testing 1, and 2 sets. A process 1000 epochs training images labels performed using DetectNet, model created. 1 applied model, sensitivities false-positive rates...
Abstract Objective: Measurements of bone density in designed sites are important presurgical imaging for dental implant treatment. However, the pixel or voxel values obtained from cone‐beam computed tomography (CT) images not absolute values. Hence, relationship between CT with a limited‐volume exposure field and flat panel detector mineral densities (BMDs) multislice was evaluated mandible. Material methods: A total 16 (four males 12 females) patients who had undergone mandibular treatment...
Objectives: To compare the responses of oropharyngeal structures to gravity while sitting upright or lying down in a supine position. Methods: Seven subjects were evaluated by cone beam CT (CBCT) position and four-row multidetector helical (MDCT) All voxel sizes adjusted be 0.3×0.3×0.3 mm3 x-y-z axis. The posterior nasal spine, basion fourth cervical bone used as references measure positional changes between positions. smallest areas oropharynx also evaluated. Results: soft palate,...
This study estimated the diagnostic performance of a deep learning system for detection Sjögren's syndrome (SjS) on CT, and compared it with radiologists.CT images were assessed from 25 patients confirmed to have SjS based both Japanese criteria American-European Consensus Group control subjects no parotid gland abnormalities who examined other diseases. 10 CT slices obtained each patient. From among total 500 images, 400 (200 20 200 subjects) employed as training data set 100 (50 5 50 used...
The present study aimed to verify the classification performance of deep learning (DL) models for diagnosing fractures mandibular condyle on panoramic radiographs using data sets from two hospitals and compare their internal external validities.Panoramic 100 condyles with without were collected a fivefold cross-validation method was employed construct evaluate DL models. validities evaluated as accuracy, sensitivity, specificity, area under receiver operating characteristic curve (AUC).For...
Purpose: The purpose of our study was to analyze dental panoramic radiographs and contribute dentists' diagnosis by automatically extracting the information necessary for reading them. As initial step, we detected teeth classified their tooth types in this study. Approach: We propose single-shot multibox detector (SSD) networks with a side branch 1-class detection without distinguishing type 16-class (i.e., central incisor, lateral canine, first premolar, second molar, third distinguished...
ABSTRACT Over the course of its evolution, human soleus muscle has rapidly increased in size and gained a more important role bipedal locomotion. However, detailed processes underlying these morphological changes remain uninvestigated. When discussing muscles, innervation patterns among primates is an criterion to consider compare. In this study, we comprehensively investigated intramuscular nerve distribution nine extant primate species provide new evolutionary implications. The innervated...