s = 'D:/Datasets/osic-pulmonary-fibrosis-progression/train/'
sort_items = get_dicom_files(s, folders='ID00007637202177411956430')
sort_items

(#30) [Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/1.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/10.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/11.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/12.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/13.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/14.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/15.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/16.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/17.dcm'),Path('D:/Datasets/osic-pulmonary-fibrosis-progression/train/ID00007637202177411956430/18.dcm')...]

Note: Kaggle tutorial

imgs = []
for filename in sort_items:
    file = dcmread(filename).pixel_array
    img = TensorDicom(file)
    imgs.append(img)
show_images(imgs, nrows=3)

explore