Cortical Segmentation Flaws Explain Major Detection Errors in Epilepsy AI Pipeline
A retrospective evaluation reveals that upstream cortical segmentation errors and scan contrast disparities drive a significant share of diagnostic mistakes ...
A retrospective evaluation reveals that upstream cortical segmentation errors and scan contrast disparities drive a significant share of diagnostic mistakes ...
An explainable machine learning pipeline combining XGBoost and SHAP revealed that specific patient knowledge deficits were strongly associated with tuberculosis ...
Researchers have introduced MinerSweeper, an open-source software tool that automates business process discovery pipelines by orchestrating preprocessing, algorithm selection, and ...
Researchers have developed CellScore, an open-source ImageJ pipeline that automates microalgal cell quantification from standard hemocytometer microscopy images with low ...
Researchers have developed a hybrid deep learning pipeline that automates character transcription and diacritic restoration for fragile historical Tamil palm ...
MSIPep combines immunopeptidomics, transcriptomics and deep learning to identify and computationally prioritize candidate tumor peptides in leukemia and solid-tumor datasets.
A deep learning pipeline from the American University of Beirut automatically detects vertebral fractures and Schmorl's nodes in routine chest ...
For more than two decades, crews at the Mars Desert Research Station in the Utah desert have written daily logs ...
A new perspective argues that cardiovascular discovery should begin with integrated human multi-omics data rather than animal models, reversing the ...
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© 2026 Scienmag - Science Magazine