i want to ask all's opinion, what are the suitable method segmentation to detect breast cancer in mammogram images ? please help me :(

i am currently doing my final year project about breast image segmentation to detect tumor . but i am a little bit confused what are the suitable method of image segmentation should i do?. please help me

Answer 1

[Image Analyst]

Over the last 30 years, there have been dozens of algorithms coming out every year. There are so many of them now - it's hard to keep up with what the best/latest algorithms are. But you can check this link

20.7 X-Ray Images, Radiography

      20.7.1 Breast Cancer, Mammograms, Analysis, Mammography
          20.7.1.1 Breast Cancer Cell Analysis, Pathology, Nuclei Detection
          20.7.1.2 Mammography, Microcalcifications, Detection, Analysis
          20.7.1.3 Mammography, Thermal, Infrared Analysis
          20.7.1.4 Mammography, Texture Based Techniques, Wavelets
          20.7.1.5 Mammograms, Image Enhancement, Noise Suppression
          20.7.1.6 Mammograms, Ultrasound
          20.7.1.7 Mammograms, Density Issues
          20.7.1.8 Mammograms, MRI, Magnetic Resonance Imaging
          20.7.1.9 Mammograms, Three Dimensional Analysis, Registration

Basically they do various filters to the image until you get to some kind of image you can threshold. Then you threshold it into foreground (tumor) and background (normal tissue). Then you can find it's size or density or whatever you want with regionprops(). It's like most image processing. Basically a lot of image processing boils down to a final step of thresholding to find/identify the things you're interested in. It's the filters and things before that thresholding that is the hard part, and the part that is customized according to each kind of image.