Results 111 to 120 of about 36,113 (246)
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Segregated Handwritten Character Recognition using GLCM features
Handwritten document recognition is an area of pattern recognition that has been showing impressive performance in the machine printed text. Handwritten document recognition is an intricate task to various writing styles of individual person. The system first identifies the contour in a handwritten document for segmentation and features are extracted ...
M. Kalaiselvi Geetha, V. C.Bharathi
openaire +1 more source
Abstract In intelligent transportation systems, object detection for a surveillance video is one of the important functions. The performance of existing surveillance video object detection algorithms is affected by the conflict between the features of the objects, which leads to a decline in precision.
Yang He +5 more
wiley +1 more source
Gray Level Co-Occurrence Matrix (GLCM), as a measure of spatial features has been used as supplemental information to improve image classification accuracy for lithological recognition.
Qiu Yufang, Ming Dongping
doaj +1 more source
An efficient implementation of GLCM algorithm in FPGA [PDF]
This paper presents hardware (HW) architecture for fast parallel computation of Gray Level Co-occurrence Matrix (GLCM) in high throughput image analysis applications. GLCM has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the GLCM help understand the details about the overall image content.
Atitallah, M +3 more
openaire +2 more sources
Brain‐RetinaNet: Detection of Brain Tumour Using an Improved RetinaNet in Magnetic Resonance Imaging
ABSTRACT Brain tumours disrupt the normal functioning of the brain and, if left untreated, can invade surrounding tissues, blood vessels, and nerves, posing a severe threat. Consequently, early detection is crucial to prevent tragic outcomes. Distinguishing brain tumours through manual detection poses a significant challenge given their diverse ...
Rashid Iqbal +3 more
wiley +1 more source
Abstract Objective Dosiomics and radiomics elaborate the low‐and high‐order features extracted from images to predict clinical outcomes. Whole‐brain radiotherapy (WBRT) has been widely used in patients with diffuse brain metastases of small cell lung cancer (SCLC).
Yifan Lei +11 more
wiley +1 more source
Improved texture image classification through the use of a corrosion-inspired cellular automaton
In this paper, the problem of classifying synthetic and natural texture images is addressed. To tackle this problem, an innovative method is proposed that combines concepts from corrosion modeling and cellular automata to generate a texture descriptor ...
Bruno, Odemir Martinez +3 more
core +1 more source
Script Recognition using GLCM and DWT Features
In this paper a method is proposed for identification of Roman, Devanagari, Kannada, Tamil, Telugu and Malayalam scripts at text block level using features of Correlation property of Gray Level Co-occurrence Matrix (GLCM) and multi resolutionality of Discrete Wavelet Transform (DWT) of input handwritten document text blocks.
Vijayalaxmi.M. B, B.V. Dhandra
openaire +1 more source
Abstract Background Radiomics holds the potential to improve the diagnostic evaluation of equivocal lymph nodes in head and neck cancer (HNC). While conventional radiomics models utilize features such as intensity, geometry, and texture of individual lymph node, they often neglect key spatial and anatomical characteristics tied to lymphatic ...
Liyuan Chen +4 more
wiley +1 more source

