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Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

This method uses the cross-entropy function to optimize probabilities around the label y, concentrating the network distribution near the label values. The final overall loss is derived by combining these 2 components with appropriate weighting. We implement a method for calculating the skew IOU, incorporating triangulation. Figure 2 illustrates the geometric principles. Our objective is to calculate the IOU for each pair of skew rectangles.

Dawen Wu, Yanfei Li, Zeyi Yang, Teng Yin, Xiaohang Chen, Jingyu Liu, Wenyi Shang, Bin Xie, Guoyuan Yang, Haixian Zhang, Longqian Liu

J Med Internet Res 2025;27:e74402

Fourier Transform Analysis of GPS-Derived Mobility Patterns for Diagnosis and Mood Monitoring of Bipolar and Major Depressive Disorders: Prospective Study

Fourier Transform Analysis of GPS-Derived Mobility Patterns for Diagnosis and Mood Monitoring of Bipolar and Major Depressive Disorders: Prospective Study

Periodic waves corresponding to the top five power values were identified, with their summed ranks on the y-axis used to indicate intensity (see Figure 3 D). Lower ranks reflected stronger intensity, highlighting shared periodic waves (x-axis) among participants. The period indicates the reciprocal of the frequency. The ranking score indicates the power spectrum in descending order from the maximum value. Figure 4 shows differences in periodic waves between groups for LV and entropy.

Ting-Yi Lee, Ching-Hsuan Chen, Chih-Min Liu, I-Ming Chen, Hsi-Chung Chen, Shu-I Wu, Chuhsing Kate Hsiao, Po-Hsiu Kuo

J Med Internet Res 2025;27:e71658

At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study

At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study

Solid blue lines show the line of best fit from mixed-effects linear regression models, and dashed black lines show the identity line (y=x). The plotted values are the normalized scratch durations and normalized scratch frequencies. Each point represents observed scratching from 1 participant night. The x-axis and y-axis use a log-transformed scale with tick labels shown on the original scale. Each point is colored according to the study cohort.

Stefan Avey, Mark Morris, Davit Sargsyan, Molly V Lucas, Andrea O'Brisky, Kenneth Mosca, Andrew Elias, Nicholas Fountoulakis, Mehdi Boukhechba, Xuen Hoong Kok, Saiyam Jain, Mehrnoosh Oghbaie, Nikolay V Manyakov, Miao Wang, Zuleima Aguilar, Lynn Yieh

J Med Internet Res 2025;27:e72216