Segmenting a broad class of histological structures is a prerequisite to determine the pathological basis of cancer, to clarify spatial interactions between histological structures in the tumor microenvironments, making precision medicine studies easy with deep molecular profiles, and provide an exploratory tool for pathologists. Histological structure determination helps elucidate spatial tumor biology. Role focuses on the segmentation of histological structures present in colored images with stains (H & E) of the breast tissue. Accurate segmentation of histological structures can help build a spatial interaction map to serve as an exploratory tool for pathologists. Breast cancer if detected early can be cured easily. Hence detection methods need to have more accurate diagnosis. Images obtained out of the scans done, processed to get the segments, which are then seen as clusters. These clusters are evaluated with classification techniques to reach the diagnosis result.

histopathalogical image analysis, image segmentation, image statistics

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