المؤلفون: Erten, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru‑San, Acharya, U. R.

مصطلحات موضوعية: Blood cell image classification, ConcatNeXt, Deep feature engineering, Nested patch division, Computer vision

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/900d899c0e0ab4e19e3b2dc8a148def26c0157afda24e36ff3468a92338ac31c/1325044/s11042-024-19899-x.pdf; https://doi.org/10.1007/s11042-024-19899-x; Erten, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru‑San and Acharya, U. R. 2024. "ConcatNeXt: An automated blood cell classification with a new deep convolutional neural network." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-19899-x

الاتاحة: https://research.usq.edu.au/item/z99v4/concatnext-an-automated-blood-cell-classification-with-a-new-deep-convolutional-neural-network

المؤلفون: Amreen Batool, Yung-Cheol Byun

المصدر: IEEE Access, Vol 11, Pp 37203-37215 (2023)

مصطلحات موضوعية: Acute lymphoblastic leukemia (ALL), efficientnet-B3, CNN, white blood cell image classification, deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10100945/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/0a6ca5907e9b4252b6672a71f4c52f39