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 …
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …
Determination of heavy metals in cancerous and healthy colon tissues using laser induced breakdown spectroscopy and its cross-validation with ICP-AES method
Certain types of cancer deaths are widespread due to the diagnostic complexities at the
early stages. Recent studies revealed that the bio-accumulated heavy metals (act as pro …
early stages. Recent studies revealed that the bio-accumulated heavy metals (act as pro …
Red blood cell classification using image processing and CNN
MA Parab, ND Mehendale - SN Computer Science, 2021 - Springer
In the medical field, the analysis of the blood sample of the patient is a critical task.
Abnormalities in blood cells are accountable for various health issues. Red blood cells …
Abnormalities in blood cells are accountable for various health issues. Red blood cells …
Applications of machine learning for simulations of red blood cells in microfluidic devices
Background For optimization of microfluidic devices for the analysis of blood samples, it is
useful to simulate blood cells as elastic objects in flow of blood plasma. In such numerical …
useful to simulate blood cells as elastic objects in flow of blood plasma. In such numerical …
Self-Organizing Maps for Cellular In Silico Staining and Cell Substate Classification
Cellular composition and structural organization of cells in the tissue determine effective
antitumor response and can predict patient outcome and therapy response. Here we present …
antitumor response and can predict patient outcome and therapy response. Here we present …
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis
The quality of datasets plays a crucial role in the successful training and deployment of deep
learning models. Especially in the medical field, where system performance may impact the …
learning models. Especially in the medical field, where system performance may impact the …
Tree identification to calculate the amount of palm trees using haar-cascade classifier algorithm
RF Rahmat, Y Azzakirot, TZ Lini - 2019 3rd international …, 2019 - ieeexplore.ieee.org
This study aims to automatically identify and calculate the crown of oil palm trees by utilizing
digital image processing. The data of this research were the images of the oil palm tree …
digital image processing. The data of this research were the images of the oil palm tree …
CellIdentifier: Classification of Peripheral Blood Cell Images using Deep Learning
OA Aadi, MMH Akash, A Hossain… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Diagnosis and Identification of cells and disease infected cells are considered as very
important in medical science all over the world. There are health implications which can …
important in medical science all over the world. There are health implications which can …
Filtering data transfer demographic using neural network clustering to improving acceleration
Several studies have been carried out to speed up data transfer. And one of the variables
that helps to speed up data transfer time is the geographic location of the user and knowing …
that helps to speed up data transfer time is the geographic location of the user and knowing …
Blood image analysis to detect malaria using filtering image edges and classification
MH Memon, TJS Khanzada, S Memon… - TELKOMNIKA …, 2019 - telkomnika.uad.ac.id
Malaria is a most dangerous mosquito borne disease and its infection spread through the
infected mosquito. It especially affects the pregnant females and Children less than 5 years …
infected mosquito. It especially affects the pregnant females and Children less than 5 years …