Classification of breast tumors in mammograms using a neural network: utilization of selected features (original) (raw)

paper cover icon

Classification of breast tumors in mammograms using a neural network: utilization of selected features

Abstract

Abstract An artificial neural network approach to classification of possible tumors into benign and malignant ones in mammograms was developed earlier by the authors (1993), and an average of 75% recognition rate was shown. In this paper the authors propose a different ...

Du-Yih Tsai hasn't uploaded this paper.

Let Du-Yih know you want this paper to be uploaded.

Ask for this paper to be uploaded.