Results 51 to 60 of about 22,865 (233)

Improvements to a GLCM‐based machine‐learning approach for quantifying posterior capsule opacification

Journal of Applied Clinical Medical Physics
Background Posterior capsular opacification (PCO) is a common complication following cataract surgery that leads to visual disturbances and decreased quality of vision. The aim of our study was to employ a machine‐learning methodology to characterize and
Chang Liu, Ying Hu, Yan Chen, Jianchen Fang, Ruhan Liu, L. Bi, Xunan Tan, Bin Sheng, Qiang Wu   +8 more
semanticscholar   +1 more source

A Hybrid CNN-GLCM Classifier For Detection And Grade Classification Of Brain Tumor

Brain Imaging and Behavior, 2021
A supervised CNN Deep net classifier is proposed for the detection, classification and diagnosis of meningioma brain tumor using deep learning approach.
Akila Gurunathan, Batri Krishnan
semanticscholar   +1 more source

Alignment of Self‐Supervised Learning Representations With Radiomic Features in Multiphase Renal Computed Tomography

iRADIOLOGY, EarlyView.
This study investigates how well self‐supervised learning models capture clinically meaningful patterns by aligning their embeddings with radiomic features in multiphase renal CT. The findings reveal partial alignment, especially with texture features, supporting the integration of radiomics‐informed evaluation for interpretable representation learning
S. J. Pawan, R. Prajwal, Mehrnegar Aminy, Tejal Gala, Matthew Muellner, Xiaomeng Lei, Steven Y. Cen, Inderbir Gill, Mihir Desai, Vinay Duddalwar, Assad A. Oberai   +10 more
wiley   +1 more source

AN AUTOMATIC DETECTION OF BREAST CANCER USING EFFICIENT FEATURE EXTRACTION AND OPTIMIZED CLASSIFIER MODEL

ICTACT Journal on Soft Computing, 2022
Image Processing Techniques (IPTs) are widely used in healthcare. IPTs work on images to extract useful information from them. IPTs are effective in the early diagnosis of cancers which helps in their proper treatment. The number of human beings affected
S Vani Kumari, K Usha Rani
doaj   +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, A. Asgharzadeh-Bonab, R. Ranjbarzadeh   +2 more
semanticscholar   +1 more source

Deep‐Learning Based Contrast Boosting: A Multi‐Center Multi‐Reader Study on Clinical Performance With Standard Contrast Enhanced Brain MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Gadolinium‐based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. Higher doses of GBCAs can improve lesion sensitivity but may have safety implications, particularly in light of recent findings on gadolinium retention and deposition.
Srivathsa Pasumarthi Venkata, Thomas Campbell Arnold, Sonia Colombo Serra, Jeffrey. D. Rudie, Jalal. B. Andre, Ronny Elor, Dayang Wang, Praveen Gulaka, Ajit Sankaranarayanan, Gunter Erb, Greg Zaharchuk   +10 more
wiley   +1 more source

Application of Feature Selection for Identification of Cucumber Leaf Diseases (Cucumis sativa L.)

JISA (Jurnal Informatika dan Sains), 2021
According to data from BPS Kabupaten Jember, the amount of cucumber production fluctuated from 2013 to 2017. Some literature also mentions that one of the causes of the amount of cucumber production is disease attacks on these plants.
Lalitya Nindita Sahenda, Ahmad Aris Ubaidillah, Zilvanhisna Emka Fitri, Abdul Madjid, Arizal Mujibtamala Nanda Imron   +4 more
doaj   +1 more source

Feature Extraction and Selection of kidney Ultrasound Images Using GLCM and PCA

, 2020
Medical imaging applications in hospitals and laboratories have shown benefits in visualizing patient’s body for diagnosis and treatment of disease. Ultrasound (US) is considered as safest medical imaging technique and is therefore used extensively in ...
Priyanka, Dharmender Kumar
semanticscholar   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian   +10 more
wiley   +1 more source

The Efficacy Analysis of Determining the Wooded and Shrubbed Area Based on Archival Aerial Imagery Using Texture Analysis

ISPRS International Journal of Geo-Information, 2019
Open areas, along with their non-forest vegetation, are often threatened by secondary succession, which causes deterioration of biodiversity and the habitat’s conservation status.
Przemysław Kupidura, Katarzyna Osińska-Skotak, Katarzyna Lesisz, Anna Podkowa   +3 more
doaj   +1 more source