Cancer Regions in Mammogram Images Using ANFIS Classifier Based Probability Histogram Segmentation Algorithm  

作　　者：V.Swetha G.Vadivu 

机构地区：[1]Department of Data Science and Business Systems,School of Computing,SRM Institute of Science and Technology,Kattankulathur Campus,Chennai,603203,India

出　　处：《Intelligent Automation & Soft Computing》2023年第7期707-726,共20页智能自动化与软计算（英文）

摘　　要：Every year,the number of women affected by breast tumors is increasing worldwide.Hence,detecting and segmenting the cancer regions in mammogram images is important to prevent death in women patients due to breast cancer.The conventional methods obtained low sensitivity and specificity with cancer region segmentation accuracy.The high-resolution standard mammogram images were supported by conventional methods as one of the main drawbacks.The conventional methods mostly segmented the cancer regions in mammogram images concerning their exterior pixel boundaries.These drawbacks are resolved by the proposed cancer region detection methods stated in this paper.The mammogram images are clas-sified into normal,benign,and malignant types using the Adaptive Neuro-Fuzzy Inference System(ANFIS)approach in this paper.This mammogram classification process consists of a noise filtering module,spatial-frequency transformation module,feature computation module,and classification mod-ule.The Gaussian Filtering Algorithm(GFA)is used as the pixel smooth filtering method and the Ridgelet transform is used as the spatial-frequency transformation module.The statistical Ridgelet feature metrics are computed from the transformed coefficients and these values are classified by the ANFIS technique in this paper.Finally,Probability Histogram Segmentation Algo-rithm(PHSA)is proposed in this work to compute and segment the tumor pixels in the abnormal mammogram images.This proposed breast cancer detection approach is evaluated on the mammogram images in MIAS and DDSM datasets.From the extensive analysis of the proposed tumor detection methods stated in this work with other works,the proposed work significantly achieves a higher performance.The methodologies proposed in this paper can be used in breast cancer detection hospitals to assist the breast surgeon to detect and segment the cancer regions.

关 键 词：MAMMOGRAM CANCER gaussian filter ridgelet classification 

分 类 号：R73[医药卫生—肿瘤] TP39[医药卫生—临床医学]