White blood cell (WBC) counting analysis in blood smear images using various color segmentation methods
Sign Up to like & getrecommendations! Published in 2018 at "Measurement"
DOI: 10.1016/j.measurement.2017.11.002
Abstract: Abstract White blood cells (WBCs) is closely related to human immunity system which is useful to fight viruses and bacteria. Cancer therapy effectiveness and some of the blood-related diseases can be determined from the count… read more here.
Keywords: color; white blood; wbc counting; blood ... See more keywords
A comparison of accurate automatic hippocampal segmentation methods
Sign Up to like & getrecommendations! Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.04.018
Abstract: ABSTRACT The hippocampus is one of the first brain structures affected by Alzheimer's disease (AD). While many automatic methods for hippocampal segmentation exist, few studies have compared them on the same data. In this study,… read more here.
Keywords: hippocampal segmentation; segmentation; error correction; accurate automatic ... See more keywords
Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region
Sign Up to like & getrecommendations! Published in 2018 at "Physics in Medicine and Biology"
DOI: 10.1088/1361-6560/aacb65
Abstract: Abstract Owing to its excellent soft-tissue contrast, magnetic resonance (MR) imaging has found an increased application in radiation therapy (RT). By harnessing these properties for treatment planning, automated segmentation methods can alleviate the manual workload… read more here.
Keywords: geometric dosimetric; treatment planning; segmentation; treatment ... See more keywords
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930111
Abstract: Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium. In… read more here.
Keywords: image segmentation; segmentation methods; image; segmentation ... See more keywords
A Survey of Deep Learning for Retinal Blood Vessel Segmentation Methods: Taxonomy, Trends, Challenges and Future Directions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163247
Abstract: Recent advancements in deep learning architectures have extended their application to computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal fundus images. This is a problem that has piqued… read more here.
Keywords: learning retinal; retinal blood; deep learning; segmentation methods ... See more keywords
Laplacian Coordinates: Theory and Methods for Seeded Image Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.2974475
Abstract: Seeded segmentation methods have gained a lot of attention due to their good performance in fragmenting complex images, easy usability and synergism with graph-based representations. These methods usually rely on sophisticated computational tools whose performance… read more here.
Keywords: image; laplacian coordinates; segmentation; image segmentation ... See more keywords
Preliminary process in blast cell morphology identification based on image segmentation methods
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v10i6.pp5714-5725
Abstract: The diagnosis of blood disorders in developing countries usually uses the diagnostic procedure Complete Blood Count (CBC). This is due to the limitations of existing health facilities so that examinations use standard microscopes as required… read more here.
Keywords: segmentation methods; process; blast cell; image ... See more keywords
Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2880-8
Abstract: BackgroundBecause of its non-destructive nature, label-free imaging is an important strategy for studying biological processes. However, routine microscopic techniques like phase contrast or DIC suffer from shadow-cast artifacts making automatic segmentation challenging. The aim of… read more here.
Keywords: seed; contrast; microscopy; segmentation ... See more keywords
ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods
Sign Up to like & getrecommendations! Published in 2020 at "Plant Methods"
DOI: 10.1186/s13007-020-00573-w
Abstract: Background The production and availability of annotated data sets are indispensable for training and evaluation of automatic phenotyping methods. The need for complete 3D models of real plants with organ-level labeling is even more pronounced… read more here.
Keywords: annotated data; plant; segmentation methods; organ segmentation ... See more keywords
Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods
Sign Up to like & getrecommendations! Published in 2020 at "EJNMMI Research"
DOI: 10.1186/s13550-020-00648-8
Abstract: Background Quantitative analysis of brain positron-emission tomography (PET) depends on structural segmentation, which can be time-consuming and operator-dependent when performed manually. Previous automatic segmentation usually registered subjects’ images onto an atlas template (defined as RSIAT… read more here.
Keywords: analysis; segmentation; segmentation methods; hybrid pet ... See more keywords
Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0205003
Abstract: Purpose To evaluate the uncertainty of radiomics features from contrast-enhanced breath-hold helical CT scans of non-small cell lung cancer for both manual and semi-automatic segmentation due to intra-observer, inter-observer, and inter-software reliability. Methods Three radiation… read more here.
Keywords: semi automatic; segmentation; lung; radiomics features ... See more keywords