Kwara State University
Surajudeen Abdulrasaq
Designation: HoU Software Unit
Department: CIITR
| My Publications | ||||||||
|---|---|---|---|---|---|---|---|---|
| S/N | Title | Abstract | Authors | Volume Numbers | Publication Type | Publication Date | Link | |
| 1 | Breast Density Segmentation based on Fusion of Super Pixels and Watershed Transform. |
Breast density, defined as the proportion of fibroglandular tissue over the entire breast has been linked with a higher risk of developing breast cancer, it has been suggested that women with a mammographic breast density higher than 75 percent have a four-to six-fold higher risk of developing breast cancer than women with little or no dense tissue. Therefore, automatic methods of measuring breast density could potentially aid clinicians to provide more precise breast cancer risk estimate. | Surajudeen Abdulrasaq, Reyer Zwiglaar | /volume161/number12/27197 2017913208, doi:10.5120/ijca2017913208 | International Journal of Computer Applications (IJCA) http://www.ijcaonline.org/archives | 2017-03-10 | https://www.researchgate.net/publication/315107136_Breast_Density_Segmentation_based_on_Fusion_of_Super_Pixels_and_Watershed_Transform | |