Deep learning approach for bone marrow cell detection and classification on whole-slide images

Fadhil Abbas, Najwa and Shaizadi Meraj, Syeda and Zeki, Akram M. and Shah, Asadullah (2023) Deep learning approach for bone marrow cell detection and classification on whole-slide images. In: 8th IEEE International Conference of Engineering, technology and sciences, 25-27 October 2023, Kingdom of Bahrain.

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Abstract

the bone marrow cell analysis is taken as the critical standard for diagnosing leukemia. However, owing to the diverse morphology of these bone marrow cells, a lot of patience along with extensive experience is required for the examination. In this research paper, a deep learning method has been proposed for intelligent detection and classification of the bone marrow cells through applying the object detection model and pattern recognition in order to minimize the error probability and work intensity as well as improve the work proficiency on contrary to the human recognition methods for bone marrow cell detection. The proposed method has used Faster R-CNN along with the generalized average precision loss (G-AP loss) method to improve the accuracy of the cell detection.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	bone marrow cell detection, whole-slide image, Faster R-CNN.
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	27 Dec 2023 11:41
Last Modified:	30 Jan 2024 09:36
URI:	http://irep.iium.edu.my/id/eprint/109232

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