An efficient automated technique for classification of breast cancer using deep ensemble model

HIGHLIGHTS

SUMMARY

The ducts and breast lobules are composed of epithelial_cells. Breast cancer develops around the lobules in epithelial_cells. In the case of noninvasive (in situ) cancer, the basement membrane of epithelial_cells remains intact; thus, it remains confined to the tumor, and does not let it spread to neighboring tissues, whereas invasive cancer tends to affect the epithelial membrane, hence, it starts spreading to other body parts. Two pre-trained deep learning models are finetuned, and later features are fused together and optimized using entropy-based feature selection. In the other approach, MobileNetV2 and DenseNet201 models . . .

 



If you want to have access to all the content you need to log in!

Thanks :)

Username or Email

Password

Remember me

Lost your password?

If you don't have an account, you can create one here.