[HTML][HTML] Artificial intelligence in hematological diagnostics: Game changer or gadget?

W Walter, C Pohlkamp, M Meggendorfer, N Nadarajah… - Blood Reviews, 2023 - Elsevier
The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve
the integration of artificial intelligence (AI)-based systems into routine practice to support the …

How artificial intelligence might disrupt diagnostics in hematology in the near future

W Walter, C Haferlach, N Nadarajah, I Schmidts… - Oncogene, 2021 - nature.com
Artificial intelligence (AI) is about to make itself indispensable in the health care sector.
Examples of successful applications or promising approaches range from the application of …

Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis

L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang… - Electronics, 2020 - mdpi.com
Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological
disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death …

Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks

C Matek, S Schwarz, K Spiekermann… - Nature Machine …, 2019 - nature.com
Reliable recognition of malignant white blood cells is a key step in the diagnosis of
haematologic malignancies such as acute myeloid leukaemia. Microscopic morphological …

Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review

N KT, K Prasad, BMK Singh - Medical & biological engineering & …, 2022 - Springer
Anemia is a blood disorder which is caused due to inadequate red blood cells and
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …

Peripheral blood smear analysis using automated computer-aided diagnosis system to identify acute myeloid leukemia

V Acharya, V Ravi, TD Pham… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Acute myeloid leukemia (AML) is a cancer of the myeloid line of cells caused due to the
rapid increase of abnormal cells that later interfere with healthy cells. One of the main …

Sustainable digital marketing: Factors of adoption of m-technologies by older adults in the Chinese market

B Zhang, L Ying, MA Khan, M Ali, S Barykin… - Sustainability, 2023 - mdpi.com
A rapidly graying population has coincided with the widespread use of information
technology (IT) since the turn of the 20th century. As the elderly are less familiar with IT …

Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning

M Imran Razzak, S Naz - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Recent advancement in genomic technologies has opened a new realm for early detection
of diseases that shows potential to overcome the drawbacks of manual detection …

Detection of red and white blood cells from microscopic blood images using a region proposal approach

C Di Ruberto, A Loddo, L Putzu - Computers in biology and medicine, 2020 - Elsevier
In this paper, we propose a novel and efficient method for detecting and quantifying red and
white blood cells from microscopic blood images. Laboratory tests that use a cell counter or …

Identification and red blood cell automated counting from blood smear images using computer-aided system

V Acharya, P Kumar - Medical & biological engineering & computing, 2018 - Springer
Red blood cell count plays a vital role in identifying the overall health of the patient.
Hospitals use the hemocytometer to count the blood cells. Conventional method of placing …