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[HTML][HTML] An explainable AI-based blood cell classification using optimized convolutional neural network
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 …
precise classification of WBCs is crucial for medical professionals to diagnose diseases …
[HTML][HTML] Blood cell revolution: Unveiling 11 distinct types with 'Naturalize'augmentation
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 …
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 …
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
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 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
Left ventricle (LV) segmentation is essential to identify the cardiac functions for treating
cardiovascular disorders. Cardiovascular magnetic resonance (CMRI) imaging is a non …
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 …
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 …
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 …
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 …
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 …
healthcare transforming various aspects of the healthcare industry, such as medical …