A medical system (100, 300) comprising: - a memory storing machine executable instructions; - a computational system configured for controlling the medical system, wherein execution of the machine executable instructions causes the computational system to: - receive an echo planar diffusion weighted magnetic resonance image of a region of interest descriptive of breast tissue; - receive a fat suppressed T2 weighted magnetic resonance image descriptive of the region of interest; - segment the echo planar diffusion weighted magnetic resonance image to identify high diffusion rate regions, wherein the high diffusion rate regions are regions with a diffusion rate above a predetermined diffusion rate threshold; - segment the fat suppressed T2 weighted magnetic resonance image to identify tissue regions; wherein the medical system (100, 300) is characterized in that execution of the machine executable instructions further causes the computational system to: - identify a portion of the tissue regions as advisory regions by inputting the high diffusion rate regions and the tissue regions into an image processing module; - receive a conductivity map descriptive of the region of interest; - calculate a conductivity measure of each of the advisory regions using the conductivity map; - assign a classification of each of the advisory regions according to the conductivity measure; and - provide the advisory regions as a segmentation of the fat suppressed T2 weighted magnetic resonance image. - a memory storing machine executable instructions; - a computational system configured for controlling the medical system, wherein execution of the machine executable instructions causes the computational system to: - receive an echo planar diffusion weighted magnetic resonance image of a region of interest descriptive of breast tissue; - receive a fat suppressed T2 weighted magnetic resonance image descriptive of the region of interest; - segment the echo planar diffusion weighted magnetic resonance image to identify high diffusion rate regions, wherein the high diffusion rate regions are regions with a diffusion rate above a predetermined diffusion rate threshold; - segment the fat suppressed T2 weighted magnetic resonance image to identify tissue regions; - receive an echo planar diffusion weighted magnetic resonance image of a region of interest descriptive of breast tissue; - receive a fat suppressed T2 weighted magnetic resonance image descriptive of the region of interest; - segment the echo planar diffusion weighted magnetic resonance image to identify high diffusion rate regions, wherein the high diffusion rate regions are regions with a diffusion rate above a predetermined diffusion rate threshold; - segment the fat suppressed T2 weighted magnetic resonance image to identify tissue regions; - identify a portion of the tissue regions as advisory regions by inputting the high diffusion rate regions and the tissue regions into an image processing module; - receive a conductivity map descriptive of the region of interest; - calculate a conductivity measure of each of the advisory regions using the conductivity map; - assign a classification of each of the advisory regions according to the conductivity measure; and - provide the advisory regions as a segmentation of the fat suppressed T2 weighted magnetic resonance image.