Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis
SNMF uses more meaningful representation of color components for separating stained colors. Color unmixing is driven by the specific data information of each individual image. SNMF efficiently decomposes brown DAB component from IHC images. Served as a pre-processing step for accurately segmenting nuclei and lymphocytes from H & E images. SNMF shows improved performance than compared approaches.
color unmixing breast histology immunohistochemistry image hematoxylin and eosin image