Diffusion-based Wasserstein generative adversarial network for blood cell image augmentation
White blood cells (WBC) are vital elements of the immune system, and their number and
differential count are crucial for diagnosing blood-related disorders. While existing research …
differential count are crucial for diagnosing blood-related disorders. While existing research …
Deep transfer learning technique to detect white blood cell classification in regular clinical practice using histopathological images
Leukemia, a malignant disease characterized by the rapid proliferation of specific types of
white blood cells (WBC), has prompted increased interest in leveraging automatic WBC …
white blood cells (WBC), has prompted increased interest in leveraging automatic WBC …
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms
Y Chen, Z Zhu, S Zhu, L Qiu, B Zou, F Jia, Y Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
The incidence and mortality rates of malignant tumors, such as acute leukemia, have risen
significantly. Clinically, hospitals rely on cytological examination of peripheral blood and …
significantly. Clinically, hospitals rely on cytological examination of peripheral blood and …
Integrating attention mechanism and multi-scale feature extraction for fall detection
H Chen, W Gu, Q Zhang, X Li, X Jiang - Heliyon, 2024 - cell.com
Addressing the critical need for accurate fall event detection due to their potentially severe
impacts, this paper introduces the Spatial Channel and Pooling Enhanced You Only Look …
impacts, this paper introduces the Spatial Channel and Pooling Enhanced You Only Look …
Classifier to predict cardiac output through photoplethysmography waveform analysis
In this study, features were extracted from PPG waveforms and used to train different
classifier models, where cardiac output (CO) was classified into three ranges: low, healthy …
classifier models, where cardiac output (CO) was classified into three ranges: low, healthy …
Deep learning-based analysis of deep ultraviolet (UV) microscopy images for label-free, point-of-care hematological analysis
Hematological analysis is based on assessing changes in the numbers of different blood
cells and their morphological, molecular, and cytogenetic properties via a complete blood …
cells and their morphological, molecular, and cytogenetic properties via a complete blood …
Deep Learning pour l'analyse et la classification d'images
S Guindo, A Traoré, ML Benomar - 2024 - dspace.univ-temouchent.edu.dz
In the medical eld, image classi cation has achieved great success following advances in
imag ing technologies and deep learning, which is considered the most e ective tool in …
imag ing technologies and deep learning, which is considered the most e ective tool in …