Deep fusion of gray level co-occurrence matrices for lung nodule classification

no code implementations • 10 May 2022 • Ahmed Saihood, Hossein Karshenas, AhmadReza Naghsh Nilchi

The proposed methods are trained and assessed through the LIDC-IDRI dataset, where 94. 4%, 91. 6%, and 95. 8% Accuracy, sensitivity, and specificity are obtained, respectively for 2D-GLCM fusion and 97. 33%, 96%, and 98%, accuracy, sensitivity, and specificity, respectively, for 2. 5D-GLCM fusion.

Lung Nodule Classification Specificity