Journal of Tumor Research
Open Access

Department of Computer Science Information Technology, NED University, Karachi, Pakistan

Publications

• Research Article   
  Classification and Segmentation of Breast Tumor Using Mask R-CNN on Mammograms
  Author(s): Syed Kazim Raza*, Syed Shameer Sarwar, Saad Muhammad Syed and Najeed Ahmed Khan
  
  Purpose: Breast cancer has caused more deaths in women compared to any other cancer that might be found among women. With that being said, this research has proposed a method which can detect classify and segment the different types of breast tumors. This paper has also discussed the different methods by which the breast cancer has been classified and segmented in the past. Method: Breast cancer can be detected in its early stages by MRI and/or mammography of the breast muscles. For this research a novel approach is proposed for breast cancer detection, classification and segmentation. The proposed framework uses breast mammograms from the CBIS-DDSM (Curated Breast Imaging Subset of DDSM) DICOM images. Mammograms are radio images of a muscle. The DICOM data has been preprocessed in such a way that it could be incorporated with more tradition.. View More»
  DOI: 10.35248/2684-1258.23.9.204

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