2026-10-12T09:20:20Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33987783 2026-09-24T17:30:08Z category_15 category_19 category_21 category_45 category_734 category_931 category_64 category_122 portal_5 item_type_3 month_year_09_2026

<p>Class-wise performance comparison between YOLOv11 and RF-DETR.</p> Farhan Naeem (25105044) Amara Haroon (25105047) Nasru Minallah (9427338) Tufail Ahmad (637963) Shahi Dost (25105050) Neuroscience Pharmacology Biotechnology Sociology Biological Sciences not elsewhere classified Information Systems not elsewhere classified Cancer Mental Health localization loss measures employ distinct feature classify tumor locations brain tumor localization brain tumor detection aided diagnostic tools varying mri slices 91 percent compared better localization based yolov11s performed better mean average precision mri </ p 85 percent 6 percent 3 percent 2 percent xlink "> successful treatment recent developments primary challenge pretraining schemes presented convolution optimization settings medical imaging learning mechanisms improved performance findings point findings indicate findings highlight fair comparison diagnosed early deep learning computational characteristics comparative evaluation challenging intersection analogous comparison <p>Class-wise performance comparison between YOLOv11 and RF-DETR.</p> 2026-09-24T17:29:53Z Dataset Dataset 10.1371/journal.pone.0358483.t006 https://figshare.com/articles/dataset/_p_Class-wise_performance_comparison_between_YOLOv11_and_RF-DETR_p_/33987783 CC BY 4.0