The document presents a method called HBBAS (Histogram Binning Based Automatic Segmentation) to extract abnormal lung tissue from computed tomography (CT) images. It involves preprocessing the CT image, segmenting the lung parenchyma, and applying an improved toboggan algorithm and histogram binning to automatically segment lung lesions in 3D. The method is evaluated on single and multiple lung lesions, showing it can accurately segment lesions in CT images without requiring a training dataset.