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 …
An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia
Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
Deep learning for the detection of acute lymphoblastic leukemia subtypes on microscopic images: A systematic literature review
Computer vision research in detecting and classifying the subtype Acute Lymphoblastic
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …
One-stage and lightweight CNN detection approach with attention: Application to WBC detection of microscopic images
White blood cell (WBC) detection in microscopic images is indispensable in medical
diagnostics; however, this work, based on manual checking, is time-consuming, labor …
diagnostics; however, this work, based on manual checking, is time-consuming, labor …
Artificial electric field algorithm with greedy state transition strategy for spherical multiple traveling salesmen problem
J Bi, G Zhou, Y Zhou, Q Luo, W Deng - International Journal of …, 2022 - Springer
The multiple traveling salesman problem (MTSP) is an extension of the traveling salesman
problem (TSP). It is found that the MTSP problem on a three-dimensional sphere has more …
problem (TSP). It is found that the MTSP problem on a three-dimensional sphere has more …
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
F Xu, X Li, H Yang, Y Wang, W Xiang - Biomedical Signal Processing and …, 2022 - Elsevier
Blood cell detection in microscopic images is an essential branch of medical image
processing research. The research and application of computer vision algorithms in this field …
processing research. The research and application of computer vision algorithms in this field …
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood
Y Xing, X Liu, J Dai, X Ge, Q Wang, Z Hu, Z Wu… - BMC Medical Informatics …, 2023 - Springer
Background and objective Morphological identification of peripheral leukocytes is a complex
and time-consuming task, having especially high requirements for personnel expertise. This …
and time-consuming task, having especially high requirements for personnel expertise. This …
Image contrast improvement through a metaheuristic scheme
Contrast enhancement is an important pre-processing task for several image and video
processing applications. The objective of a contrast enhancement method is to improve the …
processing applications. The objective of a contrast enhancement method is to improve the …
A Comprehensive Survey on Artificial Electric Field Algorithm: Theories and Applications
The artificial electric field algorithm (AEFA) is a population-based metaheuristic optimization
algorithm. It is inspired by the electrostatic field theory and fundamental laws of physics. The …
algorithm. It is inspired by the electrostatic field theory and fundamental laws of physics. The …
Detection and classification of white blood cells with an improved deep learning-based approach
The analysis of white blood cells, which defend the body against deadly infections and
disease-causing substances, is an important issue in the medical world. The concentrations …
disease-causing substances, is an important issue in the medical world. The concentrations …