Pulmonary lesion classification from endobronchial ultrasonography images using adaptive weighted‐sum of the upper and lower triangular gray‐level co‐occurrence matrix

Visual classification of pulmonary lesions from endobronchial ultrasonography (EBUS) images is performed by radiologists; therefore, results can be subjective. Here, two robust features, called the adaptive weighted‐sum of the upper triangular gray‐level co‐occurrence matrix (GLCM) and the adaptive weighted‐sum of the lower triangular GLCM (AWSL), were combined with 22 other standard features and used as initial input data to assist...