The landscape of high-performance computing (HPC) storage is undergoing significant change. Traditional simulation and data engineering workloads are increasingly running alongside generative AI, ...
Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
--save_dir Directory used for saving the model. trained_models Any existing path --output_dir Directory used for saving the model evaluation results. results Any existing path --config_dir Directory ...
Abstract: We present a deep convolutional neural network for breast cancer screening exam classification, trained, and evaluated on over 200000 exams (over 1000000 images). Our network achieves an AUC ...
An efficient, ready‑to‑use workflow from whole‑slide image to biomarker prediction. STAMP is an end‑to‑end, weakly‑supervised deep‑learning pipeline that helps discover and evaluate candidate ...
Abstract: Identifying corn diseases under field conditions is crucial for implementing effective disease management systems. Deep learning (DL)-based plant disease identification using deep neural ...
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