A systematic review on recent advancements in deep and machine learning based detection and classification of acute lymphoblastic leukemia
Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …
required in healthcare centers. It has a significant role in early diagnosis and treatment …
A review on traditional machine learning and deep learning models for WBCs classification in blood smear images
In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …
have significantly contributed to the advancements of medical image analysis (MIA) by …
White blood cells detection and classification based on regional convolutional neural networks
White blood cells (WBC) are important parts of our immune system and they protect our body
against infections by eliminating viruses, bacteria, parasites and fungi. There are five types …
against infections by eliminating viruses, bacteria, parasites and fungi. There are five types …
Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images
Automated classification and morphological analysis of white blood cells has been
addressed since last four decades, but there is no optimal method which can be used as …
addressed since last four decades, but there is no optimal method which can be used as …
Recognition of peripheral blood cell images using convolutional neural networks
Background and objectives Morphological analysis is the starting point for the diagnostic
approach of more than 80% of hematological diseases. However, the morphological …
approach of more than 80% of hematological diseases. However, the morphological …
White blood cells identification system based on convolutional deep neural learning networks
Background and objectives White blood cells (WBCs) differential counting yields valued
information about human health and disease. The current developed automated cell …
information about human health and disease. The current developed automated cell …
Deep learning approach to peripheral leukocyte recognition
Q Wang, S Bi, M Sun, Y Wang, D Wang, S Yang - PloS one, 2019 - journals.plos.org
Microscopic examination of peripheral blood plays an important role in the field of diagnosis
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
An automatic nucleus segmentation and CNN model based classification method of white blood cell
White blood cells (WBCs) play a remarkable role in the human immune system. To diagnose
blood-related diseases, pathologists need to consider the characteristics of WBC. The …
blood-related diseases, pathologists need to consider the characteristics of WBC. The …
A lightweight deep learning system for automatic detection of blood cancer
Microscopic analysis of blood-cells is an essential and vital task for the early diagnosis of life-
threatening hematological disorders like blood cancer (leukemia). We have presented an …
threatening hematological disorders like blood cancer (leukemia). We have presented an …
Automatic detection and classification of leukocytes using convolutional neural networks
J Zhao, M Zhang, Z Zhou, J Chu, F Cao - Medical & biological engineering …, 2017 - Springer
The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a
hot issue because of its important applications in disease diagnosis. Nowadays the …
hot issue because of its important applications in disease diagnosis. Nowadays the …