White blood cells classification using multi-fold pre-processing and optimized CNN model
White blood cells (WBCs) play a vital role in immune responses against infections and
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
Fine-grained interactive attention learning for semi-supervised white blood cell classification
Y Ha, Z Du, J Tian - Biomedical Signal Processing and Control, 2022 - Elsevier
White blood cell (WBC) is an essential part of the human immune system. To diagnose
blood diseases, hematologists have to think about the WBC information. For instance, the …
blood diseases, hematologists have to think about the WBC information. For instance, the …
A comparative assessment of deep object detection models for blood smear analysis
A blood smear is a common type of blood test where blood sample is taken from a patient,
smear is made from the sample followed by observation of red blood cells, white blood cells …
smear is made from the sample followed by observation of red blood cells, white blood cells …
Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network
Abstract Background and Objective: Leukemia represents 30% of all pediatric cancers and
is considered the most common malignancy affecting adults and children. Cell differential …
is considered the most common malignancy affecting adults and children. Cell differential …
White blood cell classification based on gray level co-occurrence matrix with zero phase component analysis approach
R Saikia, SS Devi - Procedia Computer Science, 2023 - Elsevier
This paper presents an approach to WBC classification by employing Gray Level Co-
occurrence Matrix (GLCM) along with the Analysis of Variance (ANOVA) test and Zero …
occurrence Matrix (GLCM) along with the Analysis of Variance (ANOVA) test and Zero …
Integrated Point-of-Care Immune Cell Analyzer with Rapid Blood Sample Reaction and Wide Field-of-View Detection
The development of affordable, reliable, and rapid diagnostic devices is crucial for
monitoring immunological responses using a drop of blood. However, conventional …
monitoring immunological responses using a drop of blood. However, conventional …
White blood cells type detection using YOLOv5
N Rohaziat, MRM Tomari… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
White blood cells (WBCs) is the main defense system for human health. It tells about the
person health and genetic information, which are able to describe any abnormality occur. A …
person health and genetic information, which are able to describe any abnormality occur. A …
[HTML][HTML] Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia
Medical diagnosis plays a critical role in the early detection and treatment of diseases by
examining symptoms and supporting findings through advanced laboratory testing. Early …
examining symptoms and supporting findings through advanced laboratory testing. Early …
Advancing Leukocyte Classification: A Cutting‐Edge Deep Learning Approach for AI‐Driven Clinical Diagnosis
White blood cells (WBCs) are crucial components of the immune system, responsible for
detecting and eliminating pathogens. Accurate detection and classification of WBCs are …
detecting and eliminating pathogens. Accurate detection and classification of WBCs are …
BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
Blood cell classification and counting are vital for the diagnosis of various blood-related
diseases, such as anemia, leukemia, and thrombocytopenia. The manual process of blood …
diseases, such as anemia, leukemia, and thrombocytopenia. The manual process of blood …