Novel system in vitro of classifying oral carcinogenesis based on feature extraction for gray-level co-occurrence matrix using scanned laser pico projector
Sign Up to like & getrecommendations! Published in 2021 at "Lasers in Medical Science"
DOI: 10.1007/s10103-020-03215-8
Abstract: Oral cancer is among the top 10 causes of death due to cancer worldwide. The prognosis for oral cancer patients is not good, with a 5-year survival rate of only 50%. Earlier and more precise… read more here.
Keywords: system; carcinogenesis; gray level; cancer ... See more keywords
Dominant gray level based K-means algorithm for MRI images
Sign Up to like & getrecommendations! Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-018-00293-1
Abstract: Image segmentation is the significant tasks in maximum medical diagnosis tools. In recent years, perfect segmentation of medical images is of the great challenging issue. Maximum investigation in most of the areas exhibit that numerous… read more here.
Keywords: level based; gray level; dominant gray; means algorithm ... See more keywords
Applications of gray-level variation detection method to intracellular ice formation.
Sign Up to like & getrecommendations! Published in 2018 at "Cryobiology"
DOI: 10.1016/j.cryobiol.2018.02.006
Abstract: Intracellular ice formation (IIF) is the major cause of death in cells subjected to freezing. The occurrence of intracellular ice prevents the penetration of light into the camera and makes the image dark. Therefore, the… read more here.
Keywords: gray level; level variation; intracellular ice; level ... See more keywords
Evaluation of parametrial infiltration in cervical cancer with voxel-based segmentation of integrated 18F-FDG PET/MRI images: A preliminary study.
Sign Up to like & getrecommendations! Published in 2019 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2019.07.020
Abstract: PURPOSE To identify parametrial infiltration (PMI) in cervical cancer with voxel-based segmentation of integrated PET/MRI images. METHOD This retrospective study enrolled 79 cervical cancer patients confirmed by pathology (FIGO stage IB to IIB) who underwent… read more here.
Keywords: gray level; level; segmentation; pet mri ... See more keywords
3D gray level co-occurrence matrix and its application to identifying collapsed buildings
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2019.01.008
Abstract: Abstract With the remarkable progress in access to remote sensing imagery data, nowadays research very often utilizes more than one image. We are often able to use multitemporal, hyperspectral, and/or full polarization of microwave radar… read more here.
Keywords: texture; occurrence matrix; collapsed buildings; gray level ... See more keywords
Application of Gray Level co-Occurrence Matrix Algorithm for Detection of Discrete Structural Changes in Cell Nuclei After Exposure to Iron Oxide Nanoparticles and 6-Hydroxydopamine
Sign Up to like & getrecommendations! Published in 2019 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927619014594
Abstract: Abstract The gray level co-occurrence matrix (GLCM) algorithm is a contemporary computational biology method which, today, is frequently used to detect small changes in texture that are not visible using conventional techniques. We demonstrate that… read more here.
Keywords: occurrence matrix; iron oxide; gray level; oxide nanoparticles ... See more keywords
Standardization of histogram- and gray-level co-occurrence matrices-based radiomics in the presence of blur and noise.
Sign Up to like & getrecommendations! Published in 2021 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/abeea5
Abstract: Radiomics have been extensively investigated as quantitative biomarkers that can enhance the utility of imaging studies and aid the clinical decision making process. A major challenge to the clinical translation of radiomics is their variability… read more here.
Keywords: histogram; standardization; gray level; noise ... See more keywords
IMG-10. MRI-BASED RADIOMIC PROGNOSTIC MARKERS OF DIFFUSE MIDLINE GLIOMA
Sign Up to like & getrecommendations! Published in 2020 at "Neuro-Oncology"
DOI: 10.1093/neuonc/noaa222.346
Abstract: Abstract BACKGROUND Diffuse midline gliomas (DMG) are lethal pediatric brain tumors with dismal prognoses. Presently, MRI is the mainstay of disease diagnosis and surveillance. We aimed to identify prognostic image-based radiomics markers of DMG and… read more here.
Keywords: mri based; matrix; gray level; diffuse midline ... See more keywords
Evaluation of MRI-based radiomic features in heart morphologic variations as a consequence of autoimmune thyroid disorders
Sign Up to like & getrecommendations! Published in 2022 at "Medicine"
DOI: 10.1097/md.0000000000030197
Abstract: Radiomics (RC) was initially developed using computed tomography (CT) for oncological imaging. However, it can be applied to various scientific and clinical radiology fields regardless of the modalities involved. The purpose of this survey was… read more here.
Keywords: glcm; gray level; heart; autoimmune thyroid ... See more keywords
Learning Aided System for Agriculture Monitoring Designed using Image Processing and IoT-CNN
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3167061
Abstract: The Internet of Things (IoT) and artificial intelligence (AI) based methods for monitoring, control, and decision support are combined to design of a smart agriculture assistance system. The proposed system has a sensor pack that… read more here.
Keywords: system; decision support; agriculture; cnn ... See more keywords
Spatial–Temporal Gray-Level Co-Occurrence Aware CNN for SAR Image Change Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3110302
Abstract: Deep learning-based synthetic aperture radar (SAR) image change detection has recently achieved remarkable success due to its great potential for extracting abstract features. However, the existing methods still have room for improvement in dealing with… read more here.
Keywords: spatial temporal; image; gray level; change detection ... See more keywords