2026-10-06T07:17:54Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34072171 2026-10-05T17:33:22Z category_4 category_12 category_21 category_734 category_64 portal_5 item_type_3 month_year_10_2026

<p>Performance metrics (Precision, Recall, F1-score) of individual CNN models and the ensemble model for classification of compatible and non-compatible electrospun nanofibre SEM images.</p> Narasimhan Kumaravelu (25026499) Adalarasu Kanagasabai (25316911) Preetham Raj Aravindan (25316914) Surya Murugan Moorthy Sathyanarayana (25316917) Saravana Kumar Jaganathan (1412155) Biochemistry Cell Biology Biotechnology Biological Sciences not elsewhere classified Cancer tunable nanoscale morphology thereby enabling efficient sustainable evaluation strategies significantly reduces reliance scanning electron microscopy network &# 8217 native extracellular matrix leverage physicochemical features iso 10993 guidelines individual architectures evaluated high surface area ensure data robustness derived physicochemical information deep learning framework sustainable hemocompatibility prediction electrospun nanofibres directly based augmentation strategy xlink "> among associated laboratory consumables xlink "> screening strategy laboratory waste framework aligns based assays specifically lime specialized reagents screening tool resource demands promising candidates predictive reliability overall accuracy optimized using namely vgg19 integrated gradients explainable ai biomimetic replication biological assays artificial intelligence <p>Performance metrics (Precision, Recall, F1-score) of individual CNN models and the ensemble model for classification of compatible and non-compatible electrospun nanofibre SEM images.</p> 2026-10-05T17:32:53Z Dataset Dataset 10.1371/journal.pone.0359594.t008 https://figshare.com/articles/dataset/_p_Performance_metrics_Precision_Recall_F1-score_of_individual_CNN_models_and_the_ensemble_model_for_classification_of_compatible_and_non-compatible_electrospun_nanofibre_SEM_images_p_/34072171 CC BY 4.0