Ensemble Supervised Classification Method Using the Regions of Interest and Grey Level Co-Occurrence Matrices Features for Mammograms Data.

Background: Breast cancer is one of the most encountered cancers in women. Detection and classification of the cancer into malignant or benign is one of the challenging fields of the pathology.

Objectives: Our aim was to classify the mammogram data into normal and abnormal by ensemble classification method.

Swallowed opium packets: CT diagnosis.

Purpose: The aim of this study is to report our experience in diagnosis of the opium body packers with CT scan.

Materials And Methods: For 12 cases who confessed to opium packet ingestion, we did an abdominal and pelvic CT scan without contrast and evaluated the presence, number and location of opium packets and also measured the density of packets in Hounsfield unit (HU).

Results: Mean age of our cases was 28.