  The cervical cancer developing from the precancerous lesions caused by the
Human Papilloma Virus (HPV) has been one of the preventable cancers with the
help of periodic screening. There are two types of grading conventions widely
accepted among pathologists. On the other hand, inter-observer variability is
an important issue for final diagnosis. In this paper, a whole-slide image
grading benchmark for cervical cancer precursor lesions is introduced. The
papillae of the cervical epithelium and overlapping cell problems are handled
and a tissue classification method with a novel morphological feature
exploiting the relative orientation between the BM and the major axis of all
nuclei is developed and its performance is evaluated. Besides, the
inter-observer variability is also revealed by a thorough comparison among
pathologists' decisions, as well as, the final diagnosis.
