Journal: Nature and Science of Sleep

Article Title: Deep Learning-Based Quantification of Adenoid Hypertrophy and Its Correlation with Apnea-Hypopnea Index in Pediatric Obstructive Sleep Apnea

doi: 10.2147/NSS.S492146

Figure Lengend Snippet: Calculation process of the A/N ratio using MATLAB and deep learning model architecture. ( A ) A fiberoptic nasopharyngoscopy image was selected, highlighting the adenoid cross-sectional area and the nasopharynx. The developed algorithm was then applied to automatically calculate the A/N ratio. ( B ) The network architecture used for both training and testing stages consisted of identical components, including essential modules such as Backbone, Neck, Decoder Head, and Loss, along with optional modules like the Neck and Auxiliary Head.

Article Snippet: Additionally, MATLAB calibration results demonstrated a p value of 0.679, indicating no significant differences between their outcomes.

Techniques:

Journal: Nature and Science of Sleep

Article Title: Deep Learning-Based Quantification of Adenoid Hypertrophy and Its Correlation with Apnea-Hypopnea Index in Pediatric Obstructive Sleep Apnea

doi: 10.2147/NSS.S492146

Figure Lengend Snippet: Scatterplot of the Mann–Whitney U -test for A/N ratio evaluations. ( A ) Each scatter point represents an individual A/N ratio value assessed by the two experts. ( B ) Each scatter point corresponds to an individual A/N ratio value calculated by the MATLAB algorithm, based on calibration performed by the same two experts. This visual representation offers a comprehensive comparison between the expert evaluations and the MATLAB-calculated A/N ratio values.

Article Snippet: Additionally, MATLAB calibration results demonstrated a p value of 0.679, indicating no significant differences between their outcomes.

Techniques: MANN-WHITNEY, Comparison

Journal: Nature and Science of Sleep

Article Title: Deep Learning-Based Quantification of Adenoid Hypertrophy and Its Correlation with Apnea-Hypopnea Index in Pediatric Obstructive Sleep Apnea

doi: 10.2147/NSS.S492146

Figure Lengend Snippet: Confusion matrix of adenoid hypertrophy degree performance for deep learning method and MATLAB algorithm. Adenoid hypertrophy degree is classified into three categories: small (A/N ratio 0–50%), medium (A/N ratio 50–75%), and large (A/N ratio 75–100%). In each confusion matrix, the horizontal axis represents the MATLAB results (actual class), while the vertical axis represents the deep learning results (predicted class).

Article Snippet: Additionally, MATLAB calibration results demonstrated a p value of 0.679, indicating no significant differences between their outcomes.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: The workflow of the proposed calibration method for a low-cost camera.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: The resampling method from the original calibration fixture image.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: The 2D diffused reflective planar calibration board and circular targets.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Radial distortion profiles at different radial distances for Canon in the air calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Decentering distortion profiles at different radial distances for Canon in the air calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: In-plane distortions for Canon in the air calibrated using the conventional method and the proposed method at different calibrations: ( a ) the conventional method (the first calibration); ( b ) the second calibration; ( c ) the third calibration; ( d ) the fourth calibration.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Radial distortion profiles at different radial distances for GoPro in the air calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Decentering distortion profiles at different radial distances for GoPro in the air calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: In-plane distortions at different calibrations for GoPro in the air: ( a ) the first calibration; ( b ) the second calibration; ( c ) the third calibration; ( d ) the fourth calibration.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: The calibrated IO parameters of the two cameras with the conventional method and the proposed method in the air and underwater environment.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Radial distortion profiles at different radial distances for GoPro in the underwater environment (0.14 m away from the calibration board) calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Decentering distortion profiles at different radial distances for GoPro in the underwater environment (0.14 m away from the calibration board) calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: In-plane distortions at different calibrations for GoPro in the underwater environment (0.14 m away from the calibration board): ( a ) the first calibration; ( b ) the second calibration; ( c ) the third calibration; ( d ) the fourth calibration.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Radial distortion profiles at different radial distances for GoPro in the underwater environment (0.5 m away from the calibration board) calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Decentering distortion profiles at different radial distances for GoPro in the underwater environment (0.5 m away from the calibration board) calibrated using the conventional method and the proposed method at different calibrations.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: In−plane distortions at different calibrations for GoPro in the underwater environment (0.5 m away from the calibration board): ( a ) the first calibration; ( b ) the second calibration; ( c ) the third calibration; ( d ) the fourth calibration.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment

doi: 10.3390/s23042041

Figure Lengend Snippet: Measurement accuracy comparison between the conventional camera calibration method and the proposed camera calibration method.

Article Snippet: From the GoPro underwater calibration results ( , and , ), the calibrated maximum radial, decentering, and in-plane distortion are 0.11 mm, 0.002 mm, and 25 μm, respectively.

Techniques: Comparison