Intelligent computer aided diagnosis system to enhance mass lesions in digitized mammogram images

<span>The paper presents an intelligent system to enhance mass lesions in digitized mammogram images. This can assist radiologists detecting images as early diagnosis of breast cancer. In this paper, the detection lesion is visually detected by enhancing using hybrid neuro-fuzzy technique. Fuzzified engine proposed a first step convert all pixels image fuzzy value three linguistic labels. After that, artificial neural networks are used instead inference accurately detect short time. Finally, five labels defuzzifier restore image. Processed extensively evaluated two different types resources, mammographic analysis society (MIAS) and University South Florida (USF) databases. The results show that computer aided successfully with minimum number false positive regions.</span>