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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,932 papers · 148 categories

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2 results for “cephalometric”

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalogramseess.IV

Deep learning model detects landmarks in X-ray cephalograms.

problem Automatically detecting landmarks in cephalometric X-ray images.

method 2-stage U-Net with attention mechanism and Expansive Exploration strategy.

result State-of-the-art results in landmark detection.

landmark detection deep learning cephalometric X-ray attention mechanism

2019-06-17abs ↗pdf ↗

Quasi-conformal Geometry based Local Deformation Analysis of Lateral Cephalogram for Childhood OSA Classificationcs.CV

Novel approach uses quasi-conformal geometry for OSA classification from cephalometry.

problem Classifying obstructive sleep apnea (OSA) based on craniofacial profiles.

method Quasi-conformal geometry for local deformation analysis of 15 landmark points in lateral cephalograms.

result Proposed model achieves 92.5% testing accuracy.

quasi-conformal geometry cephalometry local deformation OSA classification childhood OSA

2020-05-31abs ↗pdf ↗