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 …
Automated cell counting for Trypan blue-stained cell cultures using machine learning
L Kuijpers, E van Veen, LA van der Pol, NH Dekker - Plos one, 2023 - journals.plos.org
Cell counting is a vital practice in the maintenance and manipulation of cell cultures. It is a
crucial aspect of assessing cell viability and determining proliferation rates, which are …
crucial aspect of assessing cell viability and determining proliferation rates, which are …
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases
In standard hospital blood tests, the traditional process requires doctors to manually isolate
leukocytes from microscopic images of patients' blood using microscopes. These isolated …
leukocytes from microscopic images of patients' blood using microscopes. These isolated …
Sde-yolo: A novel method for blood cell detection
This paper proposes an improved target detection algorithm, SDE-YOLO, based on the
YOLOv5s framework, to address the low detection accuracy, misdetection, and leakage in …
YOLOv5s framework, to address the low detection accuracy, misdetection, and leakage in …
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 …
Automated detection of multi-class urinary sediment particles: An accurate deep learning approach
H Lyu, F Xu, T Jin, S Zheng, C Zhou, Y Cao… - Biocybernetics and …, 2023 - Elsevier
Urine microscopy is an essential diagnostic tool for kidney and urinary tract diseases, with
automated analysis of urinary sediment particles improving diagnostic efficiency. However …
automated analysis of urinary sediment particles improving diagnostic efficiency. However …
Cell cluster detection of thyroid FNAB-WSI via deformable convolution with frequency channel attention
M Sun, J Zhang, S Zhao, X Li, L Zhuo - Biomedical Signal Processing and …, 2025 - Elsevier
Abstract Background and Objective Cell cluster detection of thyroid fine needle aspiration
biopsy (FNAB) in whole-slide image (WSI) is significant for improving the diagnostic …
biopsy (FNAB) in whole-slide image (WSI) is significant for improving the diagnostic …
An automated approach for hemocytometer cell counting based on image-processing method
YW Chen, PJ Chiang - Measurement, 2024 - Elsevier
Evaluating cell viability plays an important role in routine cell culture, toxicology, and drug
development. Trypan blue stain is one of the simplest assays that are used to determine the …
development. Trypan blue stain is one of the simplest assays that are used to determine the …
DWS-YOLO: A Lightweight Detector for Blood Cell Detection
Y Mao, H Zhang, W Wu, X Gao, Z Lin… - Applied Artificial …, 2024 - Taylor & Francis
Peripheral blood cell detection is an essential component of medical practice and is used to
diagnose and treat diseases, as well as to monitor the progress of therapies. Our objective is …
diagnose and treat diseases, as well as to monitor the progress of therapies. Our objective is …
YOLO-FMS: A lightweight and efficient model for medical microscopic smear detection
Y Wang, L Pan, X Shu - IEEE Access, 2024 - ieeexplore.ieee.org
Deep learning-based computer vision technology has been extensively utilized to assist
medical microscopic smear diagnoses, such as complete blood count, detecting …
medical microscopic smear diagnoses, such as complete blood count, detecting …