Deep learning for the detection of acute lymphoblastic leukemia subtypes on microscopic images: A systematic literature review

T Mustaqim, C Fatichah, N Suciati - IEEE Access, 2023 - ieeexplore.ieee.org
Computer vision research in detecting and classifying the subtype Acute Lymphoblastic
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …

Morphology-based deep learning enables accurate detection of senescence in mesenchymal stem cell cultures

L He, M Li, X Wang, X Wu, G Yue, T Wang, Y Zhou… - BMC biology, 2024 - Springer
Background Cell senescence is a sign of aging and plays a significant role in the
pathogenesis of age-related disorders. For cell therapy, senescence may compromise the …

An effective WBC segmentation and classification using MobilenetV3–ShufflenetV2 based deep learning framework

BSS Rao, BS Rao - IEEE Access, 2023 - ieeexplore.ieee.org
White Blood Cells are essential in keeping track of a person's health. However, the
pathologist's experience will determine how the blood smear is evaluated. Furthermore, it is …

Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods

F Wahid, Y Ma, D Khan, M Aamir… - arXiv preprint arXiv …, 2024 - arxiv.org
Biomedical image segmentation plays a vital role in diagnosis of diseases across various
organs. Deep learning-based object detection methods are commonly used for such …

StainGAN: Learning a structural preserving translation for white blood cell images

M Huang, T Wang, Y Cai, H Fan, Z Li - Journal of Biophotonics, 2023 - Wiley Online Library
Abstract Analysis of white blood cells in blood smear images plays a vital role in computer‐
aided diagnosis for the analysis and treatment of many diseases. However, different …

Robust detection and refinement of saliency identification

AW Makram, NM Salem, MT El-Wakad… - Scientific Reports, 2024 - nature.com
Salient object detection is an increasingly popular topic in the computer vision field,
particularly for images with complex backgrounds and diverse object parts. Background …

ResNeXt-CC: a novel network based on cross-layer deep-feature fusion for white blood cell classification

Y Luo, Y Xu, C Wang, Q Li, C Fu, H Jiang - Scientific Reports, 2024 - nature.com
Accurate diagnosis of white blood cells from cytopathological images is a crucial step in
evaluating leukaemia. In recent years, image classification methods based on fully …

A lightweight white blood cells detection network based on CenterNet and feature fusion modules

L Wu, Y Zou, C Zuo, L Chen, B Zhou… - Measurement Science …, 2024 - iopscience.iop.org
White blood cells (WBCs) detection is significant to the diagnosis of many diseases.
However, the detection accuracy can be influenced by the significant differences in color …

[HTML][HTML] Parallel attention multi-scale mandibular fracture detection network based on CenterNet

T Zhou, Y Du, J Mao, C Peng, H Wang… - … Signal Processing and …, 2024 - Elsevier
Objective Using the target detection methods to assist in detecting the fracture sites can
provide corresponding treatment information to doctors. However, there are great variance …

Multiclass Classification of Heterogeneous Blood Cells Using Deep Learning and contourlet Transform

O Eslamifar, M Soltani, MJR Fatemi - 2024 - researchsquare.com
The classification of human blood cells is very important in the diagnosis of inflammation,
infection and blood disorders such as leukemia. Diagnosis of blood malignancies requires …