ArticleMedical & biological engineering & computing2020
Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization.
Article in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images.Medical & biological engineering & computing · 2023Pooled it
- Deep learning-based sex estimation from multi-planar cranial CT images in a Thai population.Anatomical science international · 2026Article
- Automatic Personal Identification Using a Single MRI Slice.Bioengineering (Basel, Switzerland) · 2026Article
- Comparative analysis of 3D reconstruction of paranasal sinuses for simulated personal identification using Dolphin imaging and mimics software.International journal of legal medicine · 2026Article
- Deep learning model for automated segmentation of sphenoid sinus and middle skull base structures in CBCT volumes using nnU-Net v2.Oral radiology · 2026Article
- Beyond the Surface: A Multidetector Computer Tomography Scan Investigation into Age and Gender Differences.F1000Research · 2025Article
- Three-Dimensional Measurements of Sphenoid Sinus Size by Sex in a Korean Population: An Exploratory Study.Diagnostics (Basel, Switzerland) · 2024Article
- Development of a Machine Learning-Enabled Virtual Reality Tool for Preoperative Planning of Functional Endoscopic Sinus Surgery.Journal of neurological surgery reports · 2024Article
- Sphenoid sinuses' volume and area analysis of Brazilian individuals' CBCTs, related to sex, age, skin color, and nutritional status using DDS-Pro™ software.Forensic science, medicine, and pathology · 2024Article
- Volumetric evaluation of the sphenoid sinus among different races in the Southeast Asian (SEA) population: a computerized tomography study.International journal of medical sciences · 2023Article
- Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm.Journal of digital imaging · 2022Article
- Human identification performed with skull's sphenoid sinus based on deep learning.International journal of legal medicine · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent clinical research studies in forensic identification have highlighted the interest in sphenoid sinus anatomical characterization. Their pneumatization, well known as extremely variable in degrees and directions, could contribute to the radiologic identification, especially if dental records, fingerPrints, or DNA samples are not available. In this paper, we present a new approach for automatic person identification based on sphenoid sinus features extracted from computed tomography (CT) images of the skull. First, we present a new approach for fully automatic 3D reconstruction of the sphenoid hemisinuses which combines the fuzzy c-means method and mathematical morphology operations to detect and segment the object of interest. Second, deep shape features are extracted from both hemisinuses using a dilated residual version of a stacked convolutional auto-encoder. The obtained binary segmentation masks are thus hierarchically mapped into a compact and low-dimensional space preserving their semantic similarity. We finally employ the ℓ
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