TY - JOUR AU - Mudathir, Osman AU - Kamil, Alaa Elfadel AU - Salah, Suha AU - Gamar, Marwa AU - Nouraldaem, Zeinab PY - 2021/01/13 Y2 - 2024/03/28 TI - Detection of lung Cancer on CT Scan Using Image Processing Techniques JF - FES Journal of Engineering Sciences JA - FJES VL - 10 IS - 1 SE - Articles DO - 10.52981/fjes.v10i1.507 UR - http://journal.oiu.edu.sd/index.php/fjes/article/view/507 SP - 1-5 AB - This paper represents detection of lung cancer using image processing which is followed by image enhancement using three filters. These filters are Gabor, madian and mean filters. Then, image segmentation is applied using a technique called marker controlled watershed with masking that has advantages over other methods in terms of reducing the time needed for detection. On that ground, this method rejoiced with better quality. Finally, an important stage is made to decide whether the lung is infected with cancer or not this stage is called feature extraction .therefore, results were reached with less human efforts. ER -