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The hemocompatibility of nanoparticles: a review of cell–nanoparticle interactions and hemostasis
Understanding cell–nanoparticle interactions is critical to develo** effective nanosized
drug delivery systems. Nanoparticles have already advanced the treatment of several …
drug delivery systems. Nanoparticles have already advanced the treatment of several …
Machine learning in detection and classification of leukemia using smear blood images: a systematic review
Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …
malignant leukocytes with minimum costs in the early stages of the disease, is a major …
Acute lymphoblastic leukemia detection and classification of its subtypes using pretrained deep convolutional neural networks
Leukemia is a fatal disease of white blood cells which affects the blood and bone marrow in
human body. We deployed deep convolutional neural network for automated detection of …
human body. We deployed deep convolutional neural network for automated detection of …
Classification of acute lymphoblastic leukemia using deep learning
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification
Leukemia is a pathology that affects young people and adults, causing premature death and
several other symptoms. Computer-aided systems can be used to reduce the possibility of …
several other symptoms. Computer-aided systems can be used to reduce the possibility of …
[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
White blood cells identification system based on convolutional deep neural learning networks
Background and objectives White blood cells (WBCs) differential counting yields valued
information about human health and disease. The current developed automated cell …
information about human health and disease. The current developed automated cell …
Deep learning approach to peripheral leukocyte recognition
Q Wang, S Bi, M Sun, Y Wang, D Wang, S Yang - PloS one, 2019 - journals.plos.org
Microscopic examination of peripheral blood plays an important role in the field of diagnosis
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images
This article addresses a new method for the classification of white blood cells (WBCs) using
image processing techniques and machine learning methods. The proposed method …
image processing techniques and machine learning methods. The proposed method …
An attention-based deep learning for acute lymphoblastic leukemia classification
The bone marrow overproduces immature cells in the malignancy known as Acute
Lymphoblastic Leukemia (ALL). In the United States, about 6500 occurrences of ALL are …
Lymphoblastic Leukemia (ALL). In the United States, about 6500 occurrences of ALL are …