Leukocytes Classification for Leukemia Detection Using Quantum Inspired ...
Leukocytes , also referred to as white blood cells (WBCs), are a crucial component of the human immune system. Abnormal proliferation of leukocytes in the bone marrow leads to leukemia , a fatal blood cancer. Classification of various subtypes of WBCs is an important step in the diagnosis of leukemia . The method of automated classification of WBCs using deep convolutional neural networks is ...
Abnormal proliferation of leukocytes in the bone marrow leads to leukemia , a fatal blood cancer. Classification of various subtypes of WBCs is an important step in the diagnosis of leukemia .
PDF Leukocytes Classification for Leukemia Detection Using Quantum Inspired ...
The state-of-the-art for leukocyte classification using machine learning can be broadly divided into two categories of works based on the type of classifier used.
This work proposed an improved pipeline for subtype classification of WBCs that relies on transfer learning for feature extraction using deep neural networks, followed by a wrapper feature selection approach based on a customized quantum-inspired evolutionary algorithm (QIEA).
Leukocytes Classification for Leukemia Detection Using Quantum Inspired ...
An improved pipeline for subtype classification of WBCs that relies on transfer learning for feature extraction using deep neural networks, followed by a wrapper feature selection approach based on a customized quantum-inspired evolutionary algorithm (QIEA) outperforms classical evolutionary algorithms in the exploration of search space. Simple Summary In this work, an improved pipeline for ...
TLDR An improved pipeline for subtype classification of WBCs that relies on transfer learning for feature extraction using deep neural networks, followed by a wrapper feature selection approach based on a customized quantum-inspired evolutionary algorithm (QIEA) outperforms classical evolutionary algorithms in the exploration of search space ...
Leukocytes Classification for Leukemia Detection Using Quantum Inspired ...
Contributions In this work, an improved WBCs classification framework was proposed, which extracts a rich set of deep features from WBC images using transfer learning on multiple deep CNNs, and performs feature selection using a customized quantum-inspired evolutionary algorithm.
