Physical Parameters A Novel Model Determination of Breast Cancer Stage Using Physical Parameter.

A Novel Model Determination of Breast Cancer Stage … 25

3. Physical Parameters

Each level of malignancy disease has different patterns of pixel intensities. Of these patterns are probabilities pair gray-level at a certain distance. Pair of gray-level probability at any distance can be determined by lack of uniformity entropy, sharpness structural variations contrast, structural uniformity angular second moment, the local homogeneity inverse difference moment, linear dependence correlation, authenticity properties mean, density deviation, lack of uniformity of the distribution of probability of occurrence gray-level pair at a certain distance entropy of , diff H structural uniformity of the distribution of probability of occurrence gray-level pair at a certain distance angular second moment of diff H and the nature of the authenticity of the pair probability distribution of gray-level events at a certain distance mean diff H as follows [24, 25]: [ ] [ ] , , , log , , 1 1 ∑ ∑ = = − = t q t r y y y y y y r q r q d y y H d y y H E Entropy 3.1 , , , 1 1 2 ∑ ∑ = = − = t q t r y y y y y y r t r q d y y H y y C Contrast 3.2 Angular second moment ASM [ ] , , , 1 1 2 ∑ ∑ = = = t q t r y y y y y y r q d y y H 3.3 Moment differential inverse MDI ∑ ∑ = = ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎣ ⎡ − + = t q t r y y y y y y r q r q y y d y y H 1 1 2 1 , , 3.4 for , q r y y ≠ Correlation Corr d y H d y H d y H d y H d y y H y y r m q m y y y y y y r m q m r q r q t q t r , , , , , , 1 1 σ σ μ μ − = ∑ ∑ = = 3.5 Anak Agung Ngurah Gunawan 26 with , , , , 1 ∑ = = t r y y y r q q m d y y H d y H 3.6 , , , , 1 ∑ = = t q y y y r q r m d y y H d y H 3.7 ∑ = = t q y y y q m q d y H y M Mean 1 , , 3.8 , , , 1 1 2 ∑ ∑ = = ⎥⎦ ⎤ ⎢⎣ ⎡ − = t q t p y y y q m y y y p m p q d y H d y H y y D Deviation 3.9 ∑ ∑ = − = = = t r q q t r y y y y y y y r q diff d y y H d i H 1 , , , , 1 3.10 Entropy of , , log , 1 ∑ = − = t i i i diff diff diff d i H d i H EHD H 3.11 ASM of [ ] , , , 1 2 ∑ = = t i i i diff diff d i H ASMHD d i H 3.12 Mean of ∑ = = t i i i diff diff d i iH MHD H 1 , , 3.13 where d y y r q , , are the gray-level pixel value of unity, the value of the second pixel gray-level and the distance between the two pixels with pixels unity, respectively. d y y H r q , , is a second-order histogram that describes the distribution of probability of occurrence of a pair of gray-level.

4. Logistic Regression Mapping Function