Channel Fusion Filter and Invariant Scattering Network-Based Leukocyte Image Discrimination Framework.

RV Tali, S Borra - International Journal of Intelligent …, 2024 - search.ebscohost.com
The escalating demand for accessible, effective, and precise healthcare solutions has driven
extensive research into integrating artificial intelligence into the medical field. Recognizing …

Leukocytes image classification using optimized convolutional neural networks

M Hosseini, D Bani-Hani, SS Lam - Expert Systems with Applications, 2022 - Elsevier
Hematologic diseases and blood disorders can be studied through the microscopic or
chemical examination of blood smear images. Many researchers work on identifying …

[PDF][PDF] White Blood Cell Classification Using Multi-Attention Data Augmentation and Regularization. Big Data Cogn. Comput. 2022, 6, 122

N Bayat, D Davey, M Coathup, J Park - 2022 - researchgate.net
Accurate and robust human immune system assessment through white blood cell evaluation
require computer-aided tools with pathologist-level accuracy. This work presents a …

Efficient Leukocyte Classification Based On Multimodal Light-source Images Using Ensemble-free Network

L Yang, D Mehta, Z Ge - 2021 - openreview.net
Classifying white blood cells (leukocytes) in a blood sample is essential for diagnosing the
health condition of a person. Conventionally, this is accomplished in a central clinical …

Comprehensive analysis of deep learning methodology in classification of leukocytes and enhancement using swish activation units

BA Harshanand, AK Sangaiah - Mobile networks and applications, 2020 - Springer
White blood cells (Leukocytes) are considered to be an essential part of the human body's
immune system. The count of WBCs is considered to be a parameter for the indication of …

White blood cell classification using multi-attention data augmentation and regularization

N Bayat, DD Davey, M Coathup, JH Park - Big Data and Cognitive …, 2022 - mdpi.com
Accurate and robust human immune system assessment through white blood cell evaluation
require computer-aided tools with pathologist-level accuracy. This work presents a multi …

Deep transfer learning technique to detect white blood cell classification in regular clinical practice using histopathological images

KA Davamani, M Jawahar, LJ Anbarasi, V Ravi… - Multimedia Tools and …, 2024 - Springer
Leukemia, a malignant disease characterized by the rapid proliferation of specific types of
white blood cells (WBC), has prompted increased interest in leveraging automatic WBC …

A Comparative Analysis for Leukocyte Classification Based on Various Deep Learning Models Using Transfer Learning

AK Kakumani, V Katla, V Rekhawar… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Leukocytes, sometimes referred to as white blood cells (WBCs), are crucial to the healthy
operation of the human body. WBC distribution in human body are biological markers that …

VGGNet-Cnn based classification of white blood cell leukemia with efficient salp swarm optimization algorithm

S Amutha - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
White blood cell (WBC) leukemia is caused by an excess of leukocytes in the bone marrow,
and image-based identification of malignant WBCs is important for its detection. This …

Development and validation of an unsupervised feature learning system for leukocyte characterization and classification: A multi-hospital study

H Yan, X Mao, X Yang, Y Xia, C Wang, J Wang… - International Journal of …, 2021 - Springer
The characterization and classification of white blood cells (WBC) are critical for the
diagnosis of anemia, leukemia, and many other hematologic diseases. We developed WBC …