[HTML][HTML] An explainable AI-based blood cell classification using optimized convolutional neural network

O Islam, M Assaduzzaman, MZ Hasan - Journal of Pathology Informatics, 2024 - Elsevier
White blood cells (WBCs) are a vital component of the immune system. The efficient and
precise classification of WBCs is crucial for medical professionals to diagnose diseases …

[HTML][HTML] Blood cell revolution: Unveiling 11 distinct types with 'Naturalize'augmentation

M Abou Ali, F Dornaika, I Arganda-Carreras - Algorithms, 2023 - mdpi.com
Artificial intelligence (AI) has emerged as a cutting-edge tool, simultaneously accelerating,
securing, and enhancing the diagnosis and treatment of patients. An exemplification of this …

A comparative study of convolutional neural network in detecting blast cells for diagnose acute myeloid leukemia

A Badruzzaman, AM Arymurhty - Journal of Electronics, Electromedical …, 2024 - jeeemi.org
Understanding blood plays a crucial role in obtaining information for monitoring health
conditions and diagnosis of hematologic diseases such as acute myeloid leukemia. It is …

Deep learning-based blood cell classification from microscopic images for haematological disorder identification

NS Jagtap, V Bodade, V Kadrolli, H Mahajan… - Multimedia Tools and …, 2024 - Springer
Biomedicine struggles with blood-related disorders, although blood cells can reveal signs.
Automatic health diagnosis and monitoring using artificial intelligence (AI) can save time and …

Automatic left ventricle segmentation via edge‐shape feature‐based fully convolutional neural network

K Gayathri, N Uma Maheswari… - … Journal of Imaging …, 2024 - Wiley Online Library
Left ventricle (LV) segmentation is essential to identify the cardiac functions for treating
cardiovascular disorders. Cardiovascular magnetic resonance (CMRI) imaging is a non …

White Blood Cell Classification using Sequential Convolutional Neural Network Transfer Learning Model

S Prasher, L Nelson… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
The classification of blood cells is essential because it gives an assay that may be used in
the diagnosis of a variety of diseases. In order to get beyond the difficulty and imprecision of …

DCENWCNet: A Deep CNN Ensemble Network for White Blood Cell Classification with LIME-Based Explainability

S Dhibar - arxiv preprint arxiv:2502.05459, 2025 - arxiv.org
White blood cells (WBC) are important parts of our immune system, and they protect our
body against infections by eliminating viruses, bacteria, parasites and fungi. The number of …

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 …

Blood Cell Image Classification Based on Improved EfficientNetB3 Model

H Feng, Y Wu - 2024 4th International Conference on Electronic …, 2024 - ieeexplore.ieee.org
Accurate classification of blood cells is very important for clinical diagnosis, but traditional
classification methods are not only time-consuming, inefficient, but also easy to make …

[PDF][PDF] Advancements and Applications of Generative AI in Healthcare

N Kathmandu - researchgate.net
Generative Artificial Intelligence (GenAI) has emerged as a transformative technology in
healthcare transforming various aspects of the healthcare industry, such as medical …