2026-10-06T17:02:15Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34073458 2026-10-05T17:48:23Z category_146 category_7 category_12 category_45 category_734 category_106 portal_5 item_type_3 month_year_10_2026

<p>Offline label-preserving augmentation used to expand each lung class from 5,000 to 8,500 images. Operations were applied to the released 768768 LC25000 images before the train/validation/test split.</p> Muhammad Ahsan Jamil (25317220) Malik Daler Ali Awan (25317223) Fatima Bukhari (25317226) Malik Muhammad Saad Missen (25317229) Nadeem Iqbal Kajla (25317232) Space Science Medicine Cell Biology Sociology Biological Sciences not elsewhere classified Science Policy paired errors differed guided efficientnet framework balanced working corpus underlying histopathology images released lc25000 images augmentation source identifiers mean accuracy ), level test partition level benchmark performance image level could div >< p study presents effatt lungnet reached 99 earliest source 650 images 500 images test partitions smaller collection refine features p </ model combines mcnemar ’ lung adenocarcinoma generated 10 f1 score experiments used efficientnetb3 backbone clinical claim centre datasets 9997 auc 001 ). <p>Offline label-preserving augmentation used to expand each lung class from 5,000 to 8,500 images. Operations were applied to the released 768768 LC25000 images before the train/validation/test split.</p> 2026-10-05T17:48:13Z Dataset Dataset 10.1371/journal.pone.0359302.t002 https://figshare.com/articles/dataset/_p_Offline_label-preserving_augmentation_used_to_expand_each_lung_class_from_5_000_to_8_500_images_Operations_were_applied_to_the_released_768768_LC25000_images_before_the_train_validation_test_split_p_/34073458 CC BY 4.0