AI Medical Compendium

A hybrid deep learning model for robust and efficient plant leaf disease detection using ResNet50, PCA, and SVM.

Scientific reports Apr 2, 2026

GroupCeptionNet: a lightweight model for classifying chili seed germination with macro images.

Scientific reports Apr 2, 2026

Residual Conditional Variational Autoencoder for Multi-Center PET/CT Radiomic Feature Harmonization with Integrated Modeling of Batch Effects and Clinical Covariates.

Journal of imaging informatics in medicine Apr 2, 2026

This study proposes a Residual Conditional Variational Autoencoder model (ResCVAE-Harmonizer) that integrates batch information and clinical covariates for multi-center feature harmonization and systematically and comprehensively evaluates its harmon... read more

Contrast-Enhanced VM-UNet for Thyroid Nodule Segmentation Based on Wavelet Features and Dual-Branch Edge Learning.

Journal of imaging informatics in medicine Apr 2, 2026

Accurate segmentation of thyroid nodules from ultrasound images is critical for clinical diagnosis and treatment, as manual analysis is labor-intensive and subject to inter-observer variability. However, existing models often struggle with edge detai... read more

Automated Detection and Classification of Pleural Effusion on Computed Tomography Using Deep Learning.

Journal of imaging informatics in medicine Apr 2, 2026

The aim of this study is to develop and evaluate the performance of a two-stage deep learning-based artificial intelligence framework for the automatic segmentation and etiological classification of pleural effusion from noncontrast thoracic computed... read more

Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods.

Scientific reports Apr 2, 2026

Efficient deep learning framework for arecanut disease detection using graph neural network and Bat algorithm.

Scientific reports Apr 2, 2026

Enhancing financial stability in healthcare through data-driven risk assessments with machine learning.

Scientific reports Apr 2, 2026

Multimodal AI model for early detection of hepatocellular carcinoma.

NPJ precision oncology Apr 2, 2026

Detection of early hepatocellular carcinoma (eHCC) is important for timely treatment and improved prognosis. However, it is challenging to distinguish eHCC from pre-malignant high-grade dysplastic nodules (HGDN). Here we developed an artificial intel... read more

Unraveling volcanic impacts in semi-arid climates: machine learning and CMIP6 insights from Krakatau and Santa Maria.

Scientific reports Apr 2, 2026

Artificial Intelligence Medical Compendium

A hybrid deep learning model for robust and efficient plant leaf disease detection using ResNet50, PCA, and SVM.

GroupCeptionNet: a lightweight model for classifying chili seed germination with macro images.

Residual Conditional Variational Autoencoder for Multi-Center PET/CT Radiomic Feature Harmonization with Integrated Modeling of Batch Effects and Clinical Covariates.

Contrast-Enhanced VM-UNet for Thyroid Nodule Segmentation Based on Wavelet Features and Dual-Branch Edge Learning.

Automated Detection and Classification of Pleural Effusion on Computed Tomography Using Deep Learning.

Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods.

Efficient deep learning framework for arecanut disease detection using graph neural network and Bat algorithm.

Enhancing financial stability in healthcare through data-driven risk assessments with machine learning.

Multimodal AI model for early detection of hepatocellular carcinoma.

Unraveling volcanic impacts in semi-arid climates: machine learning and CMIP6 insights from Krakatau and Santa Maria.

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