Results 61 to 70 of about 36,113 (246)
Brain tumor classification: a novel approach integrating GLCM, LBP and composite features
Frontiers in OncologyIdentifying and classifying tumors are critical in-patient care and treatment planning within the medical domain. Nevertheless, the conventional approach of manually examining tumor images is characterized by its lengthy duration and subjective nature ...
G. Dheepak +4 more
semanticscholar +1 more source
3D Texture Feature Extraction and Classification Using GLCM and LBP-Based Descriptors
Applied Sciences, 2021 Lately, 3D imaging techniques have achieved a lot of progress due to recent developments in 3D sensor technologies. This leads to a great interest regarding 3D image feature extraction and classification techniques.
S. Barburiceanu, R. Terebes, S. Meza
semanticscholar +1 more source
Segmentasi dan pengorakan citra mikroskopik Pap smear menggunakan algoritme K-means dan J48
Jurnal Teknologi dan Sistem Komputer, 2021 Pap smear merupakan salah satu metode untuk melakukan deteksi dini dari kanker leher rahim. Kajian ini membahas metode segmentasi dan analisis citra sel Pap smear menggunakan algoritme K-means agar sel sitoplasma, sel nukleus, dan sel radang dapat ...
Sri Hadianti, Dwiza Riana
doaj +1 more source
Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI:a feasibility study [PDF]
, 2019 Summary This feasibility study investigated the spatial heterogeneity of the lumbar vertebral bone marrow using chemical shift encoding–based water-fat MRI. Acquired texture features like contrast and dissimilarity allowed for differentiation of pre- and
Baum, T. +12 more
core +2 more sources
ElectronicsThis study highlights the intricate relationship between Gray-Level Co-occurrence Matrix (GLCM) metrics and machine learning model performance in the context of plant disease identification. It emphasizes the importance of rigorous dataset evaluation and
Masud Kabir +4 more
semanticscholar +1 more source
Time-Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring
Computational Intelligence and Neuroscience, 2021 One of the important tasks in the operating room is monitoring the depth of anesthesia (DoA) during surgery, and noninvasive techniques are very popular.
Seyed Mortaza Mousavi +2 more
semanticscholar +1 more source
InspirationNative and Joper chickens are types of chickens whose meat is difficult to distinguish in terms of texture and color. The aim of this study is to develop an information system capable of detecting the type of chicken meat (native or Joper) based on image
Mila Jumarlis, Mirfan
doaj +1 more source
Hybrid methods for feature extraction for breast masses classification
Egyptian Informatics Journal, 2018 This paper is focusing on feature extraction methods for malignant masses in mammograms and its classification. It proposes seven texture features for GLCM method and to be applied on sub-images to enhance its performance.
Mohamed A. Berbar
doaj +1 more source
Aceh International Journal of Science and Technology, 2023 Research has been conducted on detecting tuberculosis (TB) using machine learning. In this study, chest Xray (CXR) image data was used with a pixel value of 512 x 512 and PNG format consisting of normal lung images and TBinfected lung images in a 50:50 ...
Fuad Anwar +2 more
doaj +1 more source
What your Facebook Profile Picture Reveals about your Personality [PDF]
, 2017 People spend considerable effort managing the impressions they give others. Social psychologists have shown that people manage these impressions differently depending upon their personality.
Celli, Fabio +7 more
core +2 more sources