Hybrid Inception v3 XGBoost Model for Acute Lymphoblastic Leukemia Classification

Table 1

Comparison of the proposed approach with recent studies on leukemia detection.

Method	Accuracy	Dataset	Year
Yu et al. [29]	88.50%	DTH	2017
Mourya et al. [30]	89.62%	ISBI	2018
Kassani et al. [31]	96.17%	ISBI	2019
Bodzas et al. [10]	100%	Blood smear	2020
Kasani et al. [16]	96.58%	ISBI	2020
Shafique and Tehsin [12]	99.50%	ALL-IDB	2018
Proposed approach	98.50%	ISBI	2021