Blood cell image segmentation and classification: a systematic review
Background Blood diseases such as leukemia, anemia, lymphoma, and thalassemia are
hematological disorders that relate to abnormalities in the morphology and concentration of …
hematological disorders that relate to abnormalities in the morphology and concentration of …
Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification
Background The examination, counting, and classification of white blood cells (WBCs), also
known as leukocytes, are essential processes in the diagnosis of many disorders, including …
known as leukocytes, are essential processes in the diagnosis of many disorders, including …
Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network
Abstract Leukocytes, also called White Blood Cells (WBCs) or leucocytes, are the cells that
play a pivotal role in human health and are vital indicators of diseases such as malaria …
play a pivotal role in human health and are vital indicators of diseases such as malaria …
An efficient deep learning with a big data-based cotton plant monitoring system
A Stephen, P Arumugam, C Arumugam - International Journal of …, 2024 - Springer
In Agriculture, plant monitoring plays an important role from seedling to harvesting which
helps farmers achieve a good yield. This paper focuses on building bigdata based cotton …
helps farmers achieve a good yield. This paper focuses on building bigdata based cotton …
Deep learning-based blood cell classification from microscopic images for haematological disorder identification
Biomedicine struggles with blood-related disorders, although blood cells can reveal signs.
Automatic health diagnosis and monitoring using artificial intelligence (AI) can save time and …
Automatic health diagnosis and monitoring using artificial intelligence (AI) can save time and …
Secrecy Performance Intelligent Prediction for Mobile Vehicular Networks: An DI-CNN Approach
The rapid expansion of Internet of Vehicles (IoV) networks has facilitated high throughput
and reliable vehicular communications. Mobile vehicular networks face the challenges …
and reliable vehicular communications. Mobile vehicular networks face the challenges …
Security Performance Prediction Method of Artificial Intelligence of Things Based on Lightweight MS-Net Network
Emerging technologies such as artificial intelligence and big data have made numerous
Internet of things (IoT) applications possible. In particular, the Artificial Intelligence of Things …
Internet of things (IoT) applications possible. In particular, the Artificial Intelligence of Things …
[HTML][HTML] Dynamic style transfer for interior design: An IoT-driven approach with DMV-CycleNet
Q Zou, B Wang, Z Jiang, Q Wu, J Liu, X Ji - Alexandria Engineering Journal, 2025 - Elsevier
With the rise of IoT in smart home environments, interior design increasingly relies on style
transfer to create personalized and adaptive spaces that respond to user preferences and …
transfer to create personalized and adaptive spaces that respond to user preferences and …
Performance Improvement in Blood Cell Segmentation with Deep Learning-based Image Fusion Approach
To overcome the limitations of examining blood cells under a microscope, several
investigations have been carried out using artificial intelligence techniques. These …
investigations have been carried out using artificial intelligence techniques. These …
A Comparative Analysis for Leukocyte Classification Based on Various Deep Learning Models Using Transfer Learning
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 …
operation of the human body. WBC distribution in human body are biological markers that …