Results 181 to 190 of about 15,845 (235)

An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration. [PDF]

Front Artif Intell
Al-Rajab M, Loucif S, Zitar RA, Abdu-Aguye MG.   +3 more
europepmc   +1 more source

How deep resolve affects the stability of texture features for different MR image acceleration methods - a phantom and a human brain study. [PDF]

BMC Med Imaging
Obuchowicz R, Minkowski J, Lasek J, Dwojak I, Kociołek M, Seweryn M, Strzelecki M.   +6 more
europepmc   +1 more source

An auxiliary diagnosis model for the pathological classification of cervical cancer based on radiomics biomarkers. [PDF]

Front Genet
Wang M, Cao Y, Zhu M, Zhao P, Zhou Q, Lan H, Liu J, Lei J.   +7 more
europepmc   +1 more source

Preventing spread of the invasive spotted lanternfly via texture-based automated egg detection. [PDF]

Front Insect Sci
Negrete K, Butler R, Wallis E, Magnani E, Mcglynn MB, McDonald M, Alvarez NJ, Tang M.   +7 more
europepmc   +1 more source

Delta-Radiomics Biomarker in Colorectal Cancer Liver Metastases Treated with Cetuximab Plus Avelumab (CAVE Trial). [PDF]

Diagnostics (Basel)
Nardone V, Patanè V, Marinelli L, D'Ambrosio L, Del Tufo S, De Chiara M, Brunese MC, Rubini D, Grassi R, Russo A, Belfiore MP, Ciardiello F, Cappabianca S, Martinelli E, Reginelli A.   +14 more
europepmc   +1 more source

Preliminary exploration of radiomic mammographic analysis in triple negative breast cancer related to BRCA profile. [PDF]

Sci Rep
Pecchi A, Sessa G, Nocetti L, Beretta C, Bozzola C, Balboni E, Besutti G, Toss A, Cortesi L, Guidi G, Dominici M, Torricelli P.   +11 more
europepmc   +1 more source

Graph-enhanced multimodal fusion of vascular biomarkers and deep features for diabetic retinopathy detection. [PDF]

Front Artif Intell
Deepsahith KV, Shashank B, Kumar B, Alphonse S, Subburaj B, Subramanian G.   +5 more
europepmc   +1 more source

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Oil spill detection using GLCM and MRF

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
This paper presents a study for oil spill detection in three steps. The first one considers the texture as a two dimensions array, and to describe the statistics iteration between pixels the algorithm computes a textural feature related with the Gray Level Co-occurrence Matrix (GLCM).
Ludwin Lopez, Miguel Moctezuma, Flavio Parmiggiani   +2 more
openaire   +3 more sources

Wood Species Recognition Using GLCM and Correlation

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
The proposed system identifies the species of the wood using the textural features present in its barks. Each species of a wood has its own unique patterns in its bark, which enabled the proposed system to identify it accurately. Automatic wood recognition system has not yet been well established mainly due to lack of research in this area and the ...
R. Bremananth, B. Nithya, R. Saipriya
openaire   +1 more source

Iris recognition using radon transform and GLCM

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
Iris recognition for some time now has been a challenging exercise. This perhaps is due to the use of inappropriate descriptors during the feature extraction stage. In this paper, a Radon Transform is used as an iris signature descriptor. Blood vessels are segmented from iris image. After blood vessel segmentation, the radon transform is applied on the
Kanchan S. Bhagat, Pramod B. Patil, Ratnadeep R. Deshmukh, Dnyaneshwar Kirange, Swapnil Waghmare   +4 more
openaire   +1 more source