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Analysis of the therapeutic effects of anti-vascular endothelial growth factor treatment based on indocyanine green angiographic staining patterns in patients with central serous chorioretinopathy. [PDF]

Indian J Ophthalmol
Hwang BE, Kim M, Park YG, Park YH.
europepmc   +1 more source

A Vision Transformer- and Radiomics-based Model for Predicting Liver Metastasis-Free Survival in Patients with Rectal Cancer. [PDF]

Radiol Imaging Cancer
Li Z, Sun C, Wang X, Tian S, Ye Z.
europepmc   +1 more source

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A new approach for texture segmentation based on the Gray Level Co-occurrence Matrix

Multimedia Tools and Applications, 2021
Image processing is a very rich and important research area, which provides efficient solutions to many real and industrial problems. Texture analysis is one of the most interesting fields in image processing and pattern recognition. It became a very attractive research area these last years, especially after the growth and the advancement of ...
Saliha Aouat, Idir Ait-hammi, Izem Hamouchene   +2 more
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Classification of Crop Lodging with Gray Level Co-occurrence Matrix

2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
Lodging in agricultural crops is the permanent displacement of a plant from its upright position [2]. It may be caused by several weather and environmental conditions. Harvesting severely lodged crops may take twice as much time and results in reduced yield. Plant breeders seek to identify and select for lodging-resistant varieties.
Sajith Rajapaksa, Mark G. Eramian, Hema Sudhakar Duddu, Menglu Wang 0001, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin   +10 more
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Research on Characteristic Properties of Gray Level Co-Occurrence Matrix

Applied Mechanics and Materials, 2012
Gray level co-occurrence matrix (GLCM) is a second-order statistical measurement. In order to understand the characterization degree of GLCM’s different feature properties, we use images of Brodatz texture images as experimental samples, analyze the change process of feature properties in horizontal, vertical and principal and secondary diagonal ...
Ying Chen, Feng Yu Yang
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Directional Analysis of Texture Images Using Gray Level Co-Occurrence Matrix

2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
Direction parameter thetas is one of the important parameters of GLCM (gray level co-occurrence matrix). A fixed angle (such as thetas=45deg) or the average of the measurements in four direction (thetas=0deg,45deg,90deg,135deg) were usually used in calculating GLCM. However, these methods are just empiristic idea, lacking of theoretical support.
Yong Hu 0004, Chunxia Zhao, Hong-nan Wang   +2 more
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Skin Disease Identification System using Gray Level Co-occurrence Matrix

Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017
Diagnosis of the skin disease has always been in terms of a doctor's knowledgeable opinion, or by number of laboratory screenings. Diagnosis is made by looking for additional signs that make the doctor's statement accurate, however in some cases signs are indistinguishable that results to miss potential diagnosis.
Joseph Mark G. Aglibut, Luigi L. Alonzo, Monica Francesca B. Coching, Jumelyn L. Torres, Noel B. Linsangan   +4 more
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