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 …
Leukemia segmentation and classification: A comprehensive survey
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images
This article addresses a new method for the classification of white blood cells (WBCs) using
image processing techniques and machine learning methods. The proposed method …
image processing techniques and machine learning methods. The proposed method …
Feature extraction of white blood cells using CMYK-moment localization and deep learning in acute myeloid leukemia blood smear microscopic images
Artificial intelligence has revolutionized medical diagnosis, particularly for cancers. Acute
myeloid leukemia (AML) diagnosis is a tedious protocol that is prone to human and machine …
myeloid leukemia (AML) diagnosis is a tedious protocol that is prone to human and machine …
Deep learning detection network for peripheral blood leukocytes based on improved detection transformer
B Leng, C Wang, M Leng, M Ge, W Dong - Biomedical Signal Processing …, 2023 - Elsevier
Leukocytes serve as an important barrier to healthy immunity in the body and play an
important role in fighting diseases. Manual morphological examination of leukocytes is the …
important role in fighting diseases. Manual morphological examination of leukocytes is the …
[HTML][HTML] A review of artificial intelligence applications in hematology management: current practices and future prospects
Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …
garnered a great deal of attention in the field of cancer research by making a noticeable …
Detection of acute lymphoblastic leukemia using machine learning techniques
Automatic detection of acute lymphoblastic leukemia (ALL) is essential, as well as a
challenging job. Recently, machine learning and deep learning-based classification have …
challenging job. Recently, machine learning and deep learning-based classification have …
3D-integrated multilayered physical reservoir array for learning and forecasting time-series information
A wide reservoir computing system is an advanced architecture composed of multiple
reservoir layers in parallel, which enables more complex and diverse internal dynamics for …
reservoir layers in parallel, which enables more complex and diverse internal dynamics for …
Deep features aggregation-based joint segmentation of cytoplasm and nuclei in white blood cells
White blood cells (WBCs), also known as leukocytes, are one of the valuable parts of the
blood and immune system. Typically, pathologists use microscope for the manual inspection …
blood and immune system. Typically, pathologists use microscope for the manual inspection …
White blood cell classification via a discriminative region detection assisted feature aggregation network
L Jiang, C Tang, H Zhou - Biomedical Optics Express, 2022 - opg.optica.org
White blood cell (WBC) classification plays an important role in human pathological
diagnosis since WBCs will show different appearance when they fight with various disease …
diagnosis since WBCs will show different appearance when they fight with various disease …