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Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism
Background Via counting the different kinds of white blood cells (WBCs), a good quantitative
description of a person's health status is obtained, thus forming the critical aspects for the …
description of a person's health status is obtained, thus forming the critical aspects for the …
White blood cells classification using multi-fold pre-processing and optimized CNN model
White blood cells (WBCs) play a vital role in immune responses against infections and
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
Comprehensive data analysis of white blood cells with classification and segmentation by using deep learning approaches
Deep learning approaches have frequently been used in the classification and
segmentation of human peripheral blood cells. The common feature of previous studies was …
segmentation of human peripheral blood cells. The common feature of previous studies was …
BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
Blood cell classification and counting are vital for the diagnosis of various blood-related
diseases, such as anemia, leukemia, and thrombocytopenia. The manual process of blood …
diseases, such as anemia, leukemia, and thrombocytopenia. The manual process of blood …
Leukocyte subtype classification with multi-model fusion
Y Ding, X Tang, Y Zhuang, J Mu, S Chen, S Liu… - Medical & Biological …, 2023 - Springer
Accurate classification of leukocytes is crucial for the diagnosis of hematologic
malignancies, particularly leukemia. However, traditional leukocyte classification methods …
malignancies, particularly leukemia. However, traditional leukocyte classification methods …
Enhanced convolutional neural networks for early detection and classification of ophthalmic diseases
MSH Shojol, MAI Siddique… - … Conference on Information …, 2023 - ieeexplore.ieee.org
Eye diseases are an important public health concern that affects millions of people around
the world. The detection and diagnosis of these disorders at an early stage is crucial for …
the world. The detection and diagnosis of these disorders at an early stage is crucial for …
A Custom CNN Approach for Detection and Classification of Image artefacts in Silicon Hyperbolic Metamaterials
MAI Siddique, O Joyti, MS Habib - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Hyperbolic metamaterials (HMMs) possess a hyperbolic dispersion profile in Fourier space
(k-space), enabling deep sub-wavelength imaging over much of the electromagnetic …
(k-space), enabling deep sub-wavelength imaging over much of the electromagnetic …
Enhancing Hematological Analysis: White Blood Cell Classification Using CNNs
White blood cells, also known as WBCs, have a vital function in the immune system as they
protect the body from infectious diseases and foreign intruders. Abnormalities observed in …
protect the body from infectious diseases and foreign intruders. Abnormalities observed in …
Beyond Accuracy: A Cost-Aware Approach to Skin Lesion Detection Across Skin Tone Imbalances
Skin lesion prediction using artificial intelligence (AI) models is highly dependent on skin
tone, yet current approaches largely overlook this critical factor. The Fitzpatrick 17k dataset …
tone, yet current approaches largely overlook this critical factor. The Fitzpatrick 17k dataset …
Improved White Blood Cell Image Classification Using Deep Convolutional Neural Networks with Attention Mechanism
Y Qian - 2023 4th International Symposium on Computer …, 2023 - ieeexplore.ieee.org
White blood cells (WBC) are a pivotal component of the immune system, with each subtype
possessing unique functionalities in the body. Therefore, swift and accurate identification of …
possessing unique functionalities in the body. Therefore, swift and accurate identification of …