|
Subcategory | Related works | Year | Technique | Filter | Database | Evaluation metric |
|
DL | [160] | 2015 | CRF | | INbreast and DDSM-BCRP | 89.0% of Dice |
DL | [157] | 2018 | Adversarial FCN-CRF | | INbreast and DDSM-BCRP | 97.0% accuracy |
DL | [158] | 2018 | FrCN | | INbreast | 92.97 segmentation accuracy, 92.69% Dice and MCC of 85.93% |
DL | [174] | 2018 | CRU-Net | | INbreast and DDSM | 93.66% of Dice for INbreast and 93.32% for DDSM |
DL | [161] | 2019 | ResCU-Net and MS-ResCU-Net | | INbreast | 91.78% of Dice, 94.16% accuracy, and Jac of 85.12% based on MS-ResCU-Net |
DL | [162] | 2019 | U-Net and AGS | | DDSM | 82.24% -score, 77.89% sensitivity, and 78.38% accuracy |
DL | [169] | 2019 | RU-Net | cLare filter | INbreast and DDSM-BCRP | 98.0% of Dice, 94.0% of IOU, and 98.0% accuracy |
DL | [170] | 2019 | U-Net | Laplace filter | DDSM | 97.80% of Dice and 98.50% of -score |
DL | [171] | 2019 | AUNet | | INbreast and DDSM | 81.80% of Dice for DDSM and DI of 79.10% for INbreast |
DL | [163] | 2020 | Mask RCNN | | INbreast | 88.0% of Dice |
DL | [164] | 2020 | FrCN | | INbreast | 92.69% of Dice, 92.97% accuracy, and Jac of 86.37% |
DL | [165] | 2020 | U-Net | Adaptive median | INbreast and DDSM | 89.0% of Dice and mean IOU of 90.90% |
DL | [159] | 2020 | DS-U-Net | cLare filter | INbreast and DDSM | 82.7% of Dice, Jac of 99.7%, and accuracy of 83.0% |
DL | [166] | 2020 | cGAN | Median filter | INbreast | 88.0% of Dice, Jac of 78.0%, and 98.0% accuracy |
DL | [167] | 2020 | cGAN | Morphological filter | DDSM | 94.0% of Dice and IOU of 87.0% |
DL | [168] | 2020 | Mask RCNN and DeepLab | Savitzky Golay filter | MIAS and DDSM | 80.0% accuracy |
DL | [175] | 2020 | Mask RCCN-FPN | | DDSM | 91.0% accuracy and 84.0% precision |
DL | [176] | 2020 | U-Net | | DDSM | 79.39% of Dice, AUC of 86.40%, and 85.95% of accuracy |
DL | [172] | 2021 | U-Net | | DDSM | 88.0% accuracy |
DL | [173] | 2021 | U-Net | | MIAS and DDSM | 98.87% of Dice, AUC of 98.88%, and -score of 97.99% |
|