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Evaluation of Radiomorphometric Indices of Panoramic Images of Mandible to Estimate Gender and Approximate Age
Published 2024-11-01“…This study aimed to evaluate radiomorphometric indices of mandibular bone on panoramic radiographs for estimating gender and approximate age.Methods and Materials: In this descriptive-cross-sectional study a total 180 panoramic radiographs were retrieved from the Oral and Maxillofacial Radiology Department of Yazd Dental School. Seven different indices were measured: upper ramus breadth (URB), lower ramus breadth (LRB), Condylar ramus height (CH), Projective ramus height (PRH), Coronoid ramus height (CRH), the Gonial angle (GA) and Antegonial notch (AN). …”
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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review
Published 2025-01-01“…ABSTRACT Background Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image‐based diagnostics are getting increasingly important and advanced. …”
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Quantifying Liver Cirrhosis by Extracting Significant Features from MRI T2 Image
Published 2012-01-01Get full text
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Cancer Detection Rates of Systematic and Targeted Prostate Biopsies after Biparametric MRI
Published 2020-01-01Get full text
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Altered Forebrain Functional Connectivity and Neurotransmission in a Kinase-Inactive Mouse Model of Autism
Published 2019-01-01Get full text
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Rosai-Dorfman Disease Presenting With FDG-Avid Breast Masses and Axillary Lymph Nodes on PET-CT in a Patient With Recent Diagnosis of Endometrial Carcinoma: A Diagnostic Dilemma
Published 2025-01-01“…This case highlights the unique characteristics of RDD with an atypical clinical presentation suspicious for breast cancer both clinically and radiologically.…”
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Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification
Published 2025-01-01Get full text
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact
Published 2025-02-01“…Abstract This study uses machine learning (ML) to elucidate the contact relationship between the mandibular third molar (M3M) and the inferior alveolar canal (IAC), leading to three major contributions; (1) The first publicly accessible PR image dataset with semantic annotations for 1,478 IACs and M3Ms from 1,010 patients is introduced, which includes challenging cases, such as false positive contacts, with CBCT images as the gold standard, (2) Established radiological indicators for M3M-IAC contact were extracted as features using digital image processing, and these features were used as inputs for various ML methods. …”
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Dynamic Changes in Lung Function and Imaging in Patients with COVID-19
Published 2022-01-01Get full text
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CT-sensitized nanoprobe for effective early diagnosis and treatment of pulmonary fibrosis
Published 2025-01-01Get full text
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