BCNet: A deep learning computer-aided diagnosis framework for human peripheral blood cell identification
Blood cells carry important information that can be used to represent a person's current state
of health. The identification of different types of blood cells in a timely and precise manner is …
of health. The identification of different types of blood cells in a timely and precise manner is …
[PDF][PDF] Classification of white blood cells by deep learning methods for diagnosing disease.
M Yildirim, A Çinar - Rev. d'Intelligence Artif., 2019 - researchgate.net
Accepted: 29 August 2019 Leukocytes, also known as white blood cells, are a group of cells
that protect the body against infections, which is an important part of the immune system …
that protect the body against infections, which is an important part of the immune system …
Automatic white blood cell classification using pre-trained deep learning models: Resnet and inception
This works gives an account of evaluation of white blood cell differential counts via computer
aided diagnosis (CAD) system and hematology rules. Leukocytes, also called white blood …
aided diagnosis (CAD) system and hematology rules. Leukocytes, also called white blood …
Diagnosis of blood cells using deep learning
AJ Khalil, SS Abu-Naser - 2022 - philpapers.org
Abstract In computer science, Artificial Intelligence (AI), sometimes called machine
intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence …
intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence …
ReRNet: A deep learning network for classifying blood cells
Aims Blood cell classification helps detect various diseases. However, the current
classification model of blood cells cannot always get great results. A network that …
classification model of blood cells cannot always get great results. A network that …
DLBCNet: A deep learning network for classifying blood cells
Background: Blood is responsible for delivering nutrients to various organs, which store
important health information about the human body. Therefore, the diagnosis of blood can …
important health information about the human body. Therefore, the diagnosis of blood can …
Automated recognition of white blood cells using deep learning
A Khouani, M El Habib Daho, SA Mahmoudi… - Biomedical Engineering …, 2020 - Springer
The detection, counting, and precise segmentation of white blood cells in cytological images
are vital steps in the effective diagnosis of several cancers. This paper introduces an efficient …
are vital steps in the effective diagnosis of several cancers. This paper introduces an efficient …
Detection and classification of white blood cells through deep learning techniques
S Abou El-Seoud, M Siala, G McKee - 2020 - learntechlib.org
Leukemia is one of the deadliest diseases in human life, it is a type of cancer that hits blood
cells. The task of diagnosing Leukemia is time consuming and tedious for doctors; it is also …
cells. The task of diagnosing Leukemia is time consuming and tedious for doctors; it is also …
A novel feature fusion based deep learning framework for white blood cell classification
N Dong, Q Feng, M Zhai, J Chang, X Mai - Journal of Ambient Intelligence …, 2023 - Springer
Traditional white blood cell detection usually requires artificial extraction of cell features,
which have higher resolution and contain more detailed information. However, due to the …
which have higher resolution and contain more detailed information. However, due to the …
Classification of white blood cells: A comprehensive study using transfer learning based on convolutional neural networks
T Tamang, S Baral, MP Paing - Diagnostics, 2022 - mdpi.com
White blood cells (WBCs) in the human immune system defend against infection and protect
the body from external hazardous objects. They are comprised of neutrophils, eosinophils …
the body from external hazardous objects. They are comprised of neutrophils, eosinophils …