main webpage W Topic Regression Analysis bioRxiv (Cold Spring Harbor Laboratory) Robust Deep Learning-based 3D Segmentation and Morphological Analysis of Mitochondria using Soft X-ray Tomography 2025 Abstract Mitochondrial morphology is crucial for cellular function, but large-scale analysis is limited by challenges in high-resolution imaging and segmentation. MitoXRNet, a compact 3D deep-learning model, efficiently segments mitochondria and nuclei from S… Article Open Regression Analysis Open Article Page

Regression Analysis

Set of statistical processes for estimating the relationships among variables In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more independent variables (often called regressors , predictors , covariates , explanatory variables or features ). The most common form of regression analysis is linear regression, in which one finds the line (or a more complex linear combination) that most closely fits the data according to a specific mathematical criterion. Critical Symbolic Virtual Narrative Open Regression Analysis Open Article Page

Exploring foci of: bioRxiv (Cold Spring Harbor Laboratory) Robust Deep Learning-based 3D Segmentation and Morphological Analysis of Mitochondria using Soft X-ray Tomography 2025 Abstract Mitochondrial morphology is crucial for cellular function, but large-scale analysis is limited by challenges in high-resolution imaging and segmentation. MitoXRNet, a compact 3D deep-learning model, efficiently segments mitochondria and nuclei from Soft X-ray Tomography data using multi-axis slicing, Sobel-based boundary enhancement, and combined BCE–Robust Dice loss. With 1.4M parameters, it achieves a Dice score of 73.8% on INS-1E cells, outperforming existing models. Automated analysis indicated that g… Open Article Page

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Explore Regression Analysis W Topic Regression Analysis bioRxiv (Cold Spring Harbor Laboratory) Robust Deep Learning-based 3D Segmentation and Morphological Analysis of Mitochondria using Soft X-ray Tomography 2025 Abstract Mitochondrial morphology is crucial for cellular function, but large-scale analysis is limited by challenges in high-resolution imaging and segmentation. MitoXRNet, a compact 3D deep-learning model, efficiently segments mitochondria and nuclei from S… Article Critical Symbolic Virtual Narrative Open Regression Analysis Open Article Page