An XAI integrated identification system of white blood cell type using variants of Vision Transformer

Conference paper


Diprto, Shakib Mahmud, Reza, Md Tanzim, Rahman, Md Nowroz Junaed, Parvez, Mohammad Zavid, Barue, Prabal Datta and Chakraborty, Subrata. (2023). An XAI integrated identification system of white blood cell type using variants of Vision Transformer. Second International Conference on Innovations in Computing Research (ICR'23). Madrid, Spain 04 - 06 Sep 2023 Cham, Switzerland: Springer Nature. pp. 303-315 https://doi.org/10.1007/978-3-031-35308-6_26
AuthorsDiprto, Shakib Mahmud, Reza, Md Tanzim, Rahman, Md Nowroz Junaed, Parvez, Mohammad Zavid, Barue, Prabal Datta and Chakraborty, Subrata
TypeConference paper
Abstract

White Blood Cells (WBCs) serve as one of the primary defense mechanisms against various diseases. Therefore, in order to detect blood cancer as well as many other disorders, routine WBC monitoring may be necessary. Numerous studies have proposed automated 4 types of WBC detection through Machine Learning and Deep Learning based solutions. However, transformers based applications, which primarily originated from the field of Natural Language Processing, are very scarce. Our proposed study showcases the applications of Vision Transformers (VTs) for WBC type identification. Firstly, a pre-augmented dataset of nearly 12,500 images was taken. Afterward, two variants of VTs were trained and evaluated on the dataset. Our analysis revealed that the accuracy for all the models ranged from 83% to 85%, making the performance of the VTs equivalent to that of the standard Deep Learning models. Meanwhile, VTs have demonstrated significantly faster learning symptoms during the training phase, which can be useful when one wants to maximize learning through fewer epochs, for example, in a federated learning environment. Finally, the application of Explainable AI (XAI) was visualized on the VTs using Gradient-weighted Class Activation Mapping (GradCam).

KeywordsVision Transformer; GradCam; blood cell; white blood cell; transformer; eosinophil; neutrophil; lymphocyte; monocyte
Year2023
PublisherSpringer Nature
ISSN2367-3370
2367-3389
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-35308-6_26
Scopus EID2-s2.0-85164711910
Publisher's version
License
All rights reserved
File Access Level
Controlled
Book titleProceedings of the Second International Conference on Innovations in Computing Research (ICR’23)
Page range303-315
ISBN9783031353079
9783031353086
Output statusPublished
Publication dates
Online17 Jun 2023
Print16 Jun 2023
Publication process dates
Deposited03 Mar 2025
Place of publicationCham, Switzerland
Permalink -

https://acuresearchbank.acu.edu.au/item/91692/an-xai-integrated-identification-system-of-white-blood-cell-type-using-variants-of-vision-transformer

Restricted files

Publisher's version

  • 14
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as