Table 4 Classification performance on Warwick-QU dataset
From: Texture features in the Shearlet domain for histopathological image classification
Method | Perf | RP + Magnitude | RP | Magnitude | |||
|---|---|---|---|---|---|---|---|
SVM | DTB | SVM | DTB | SVM | DTB | ||
(1): Baseline performance of existing Shearlet-based methods | |||||||
Vo et al. | ACC% | \(\underline{93} .\underline{35} \% \pm \underline{5} .\underline{23} \%\) | \(86.14\% \pm 6.10\%\) | \(92.13\% \pm 8.53\%\) | \(85.55\% \pm 6.83\%\) | \(73.31\% \pm 11.27\%\) | \(73.97 \% \pm 12.26\%\) |
AUC | \(\underline{0} .\underline{9802} \pm \underline{0} .\underline{0351}\) | \(0.9362 \pm 0.0347\) | \(0.9829 \pm 0.0345\) | \(0.9338 \pm 0.0437\) | \(0.8157 \pm 0.0998\) | \(0.8163 \pm 0.1047\) | |
Sen | \(\underline{0} .\underline{8929} \pm \underline{0} .\underline{1349}\) | \(0.8804 \pm 0.1107\) | \(0.8661 \pm 0.1661\) | \(0.8018 \pm 0.1201\) | \(0.6750 \pm 0.1976\) | \(0.6625 \pm 0.1872\) | |
Prec | \(\underline{0} .\underline{9639} \pm \underline{0} .\underline{0583}\) | \(0.8294 \pm 0.0786\) | \(0.9579 \pm 0.0690\) | \(0.8696 \pm 0.0766\) | \(0.7256 \pm 0.1569\) | \(0.7324 \pm 0.1391\) | |
Meshkini and Ghassemian | ACC% | \(\textit{82.54}\% \pm \textit{8.52}\%\) | \(\textit{87.90}\% \pm \textit{6.25}\%\) | \(\textit{86.14}\% \pm \textit{7.25}\%\) | \(\textit{84.23}\% \pm \textit{9.54}\%\) | \(81.95\% \pm 8.73\%\) | \(84.38 \% \pm 8.86\%\) |
AUC | \(\textit{0.9462} \pm \textit{0.0326}\) | \(\textit{0.9331} \pm \textit{0.0592}\) | \(\textit{0.9293} \pm \textit{0.0512}\) | \(\textit{0.8800} \pm \textit{0.0676}\) | \(0.9013 \pm 0.0455\) | \(0.9329 \pm 0.0546\) | |
Sen | \(\textit{0.7214} \pm \textit{0.1475}\) | \(\textit{0.7821} \pm \textit{0.1380}\) | \(\textit{0.7589} \pm \textit{0.1892}\) | \(\textit{0.7286} \pm \textit{0.1828}\) | \(0.7196 \pm 0.1409\) | \(0.8196 \pm 0.1896\) | |
Prec | \(\textit{0.8707} \pm \textit{0.0937}\) | \(\textit{0.9389} \pm \textit{0.0811}\) | \(\textit{0.9324} \pm \textit{0.0921}\) | \(\textit{0.8973} \pm \textit{0.1164}\) | \(0.8574 \pm 0.1125\) | \(0.8519 \pm 0.1161\) | |
Zhou et al. | ACC% | \(\textit{63.60}\% \pm \textit{7.56}\%\) | \(\textit{75.85}\% \pm \textit{8.72}\%\) | \(\textit{55.15}\% \pm \textit{8.52}\%\) | \(\textit{67.76}\% \pm \textit{10.21}\%\) | \(58.79\% \pm 6.61\%\) | \(72.21 \% \pm 9.57\%\) |
AUC | \(\textit{0.6752} \pm \textit{0.1375}\) | \(\textit{0.8544} \pm \textit{0.1017}\) | \(\textit{0.5771} \pm \textit{0.1091}\) | \(\textit{0.6769} \pm \textit{0.1280}\) | \(0.6006 \pm 0.1252\) | \(0.7699 \pm 0.1103\) | |
Sen | \(\textit{0.4571} \pm \textit{0.1358}\) | \(\textit{0.5964} \pm \textit{0.1550}\) | \(\textit{0.4054} \pm \textit{0.1296}\) | \(\textit{0.4804} \pm \textit{0.1944}\) | \(0.3375 \pm 0.1814\) | \(0.5821 \pm 0.1092\) | |
Prec | \(\textit{0.6442} \pm \textit{0.1660}\) | \(\textit{0.8349} \pm \textit{0.1336}\) | \(\textit{0.5157} \pm \textit{0.1430}\) | \(\textit{0.6812} \pm \textit{0.1553}\) | \(0.5764 \pm 0.1998\) | \(0.7665 \pm 0.1601\) | |
Dong et al. | ACC% | \(\textit{91.58}\% \pm \textit{6.33}\%\) | \(\textit{86.07}\% \pm \textit{11.08}\%\) | \(\textit{79.96}\% \pm \textit{6.46}\%\) | \(\textit{83.57}\% \pm \textit{12.54}\%\) | \(83.13\% \pm 5.94\%\) | \(75.74\% \pm 5.06\%\) |
AUC | \(\textit{0.9777} \pm \textit{0.0372}\) | \(\textit{0.9345} \pm \textit{0.0743}\) | \(\textit{0.9234} \pm \textit{0.0547}\) | \(\textit{0.9297} \pm \textit{0.0829}\) | \(0.9342 \pm 0.0507\) | \(0.8575 \pm 0.0826\) | |
Sen | \(\textit{0.9589} \pm \textit{0.0663}\) | \(\textit{0.8125} \pm \textit{0.1831}\) | \(\textit{0.8089} \pm \textit{0.1007}\) | \(\textit{0.7536} \pm \textit{0.2074}\) | \(0.8143 \pm 0.1381\) | \(0.6625 \pm 0.1112\) | |
Prec | \(\textit{0.8844} \pm \textit{0.1172}\) | \(\textit{0.8661} \pm \textit{0.1076}\) | \(0.7673 \pm 0.0976\) | \(\textit{0.8843} \pm \textit{0.1575}\) | \(0.8252 \pm 0.0942\) | \(0.7731 \pm 0.0968\) | |
(2): Proposed Shearlet-based methods for textured bio-medical image classification | |||||||
CM | ACC% | \(\underline{95} .\underline{70} \% \pm \underline{7} .\underline{80} \%\) | \(86.76\% \pm 5.35\%\) | \(92.61\% \pm 8.25\%\) | \(84.82\% \pm 8.92\%\) | \(85.40\% \pm 6.56\%\) | \(78.20\% \pm 13.74\%\) |
AUC | \(\underline{0} .\underline{9860} \pm \underline{0} .\underline{0353}\) | \(0.9427 \pm 0.0347\) | \(0.9709 \pm 0.0457\) | \(0.9372 \pm 0.0451\) | \(0.9440 \pm 0.0462\) | \(0.8992 \pm 0.0653\) | |
Sen | \(\underline{0} .\underline{9446} \pm \underline{0} .\underline{0983}\) | \(0.8679 \pm 0.1226\) | \(0.9304 \pm 0.0736\) | \(0.7946 \pm 0.1404\) | \(0.7946 \pm 0.0782\) | \(0.7214 \pm 0.2090\) | |
Prec | \(\underline{0} .\underline{9589} \pm \underline{0} .\underline{0945}\) | \(0.8483\pm 0.0682\) | \(0.9181 \pm 0.1222\) | \(0.8691 \pm 0.1277\) | \(0.8708 \pm 0.1060\) | \(0.7756 \pm 0.1485\) | |
LBP | ACC% | \(88.49\% \pm 5.25\%\) | \(86.69\% \pm 7.24\%\) | \(84.12\% \pm 7.49\%\) | \(80.00\% \pm 11.99\%\) | \(89.71\% \pm 9.45\%\) | \(82.43\% \pm 8.30\%\) |
AUC | \(0.9592 \pm 0.0544\) | \(0.9418 \pm 0.0416\) | \(0.9500 \pm 0.0670\) | \(0.8944 \pm 0.0836\) | \(0.9419 \pm 0.0538\) | \(0.9248 \pm 0.0388\) | |
Sen | \(0.8821 \pm 0.1152\) | \(0.7982 \pm 0.1223\) | \(0.8518 \pm 0.1021\) | \(0.7625 \pm 0.1762\) | \(0.8946 \pm 0.1305\) | \(0.7304 \pm 0.1685\) | |
Prec | \(0.8770 \pm 0.0955\) | \(0.9000 \pm 0.0905\) | \(0.8292 \pm 0.1426\) | \(0.7921 \pm 0.1434\) | \(0.8825 \pm 0.1080\) | \(0.8649 \pm 0.1017\) | |
LOSIB | ACC% | \(92.57\% \pm 9.24\%\) | \(87.21\% \pm 5.39\%\) | \(89.52\% \pm 7.85\%\) | \(87.43\% \pm 10.53\%\) | \(79.34\% \pm 5.33\%\) | \(76.80\% \pm 10.66\%\) |
AUC | \(0.9798 \pm 0.0395\) | \(0.9346 \pm 0.0432\) | \(0.9671 \pm 0.0554\) | \(0.9344 \pm 0.0570\) | \(0.9153 \pm 0.0601\) | \(0.8679 \pm 0.0907\) | |
Sen | \(0.9446 \pm 0.0983\) | \(0.7964 \pm 0.1155\) | \(0.8464 \pm 0.1258\) | \(0.8411 \pm 0.1442\) | \(0.7732 \pm 0.1465\) | \(0.7125 \pm 0.1685\) | |
Prec | \(0.9042 \pm 0.1255\) | \(0.9177 \pm 0.0902\) | \(0.9264 \pm 0.1119\) | \(0.8792 \pm 0.1265\) | \(0.7983 \pm 0.1328\) | \(0.7579 \pm 0.1123\) | |
SFTA | ACC% | \(94.52\% \pm 7.47\%\) | \(87.76\% \pm 5.95\%\) | \(92.68\% \pm 7.06\%\) | \(84.23\% \pm 10.17\%\) | \(85.99\% \pm 7.09\%\) | \(82.39\% \pm 6.18\%\) |
AUC | \(0.9846 \pm 0.0350\) | \(0.9353 \pm 0.0469\) | \(0.9739 \pm 0.0416\) | \(0.9192 \pm 0.0937\) | \(0.9515 \pm 0.0410\) | \(0.9119 \pm 0.0692\) | |
Sen | \(0.9196 \pm 0.0968\) | \(0.8196 \pm 0.1576\) | \(0.9179 \pm 0.0710\) | \(0.7821 \pm 0.1301\) | \(0.7946 \pm 0.0979\) | \(0.8286 \pm 0.1203\) | |
Prec | \(0.9589 \pm 0.0945\) | \(0.9107 \pm 0.0869\) | \(0.9246 \pm 0.1059\) | \(0.8767 \pm 0.1447\) | \(0.8798 \pm 0.0881\) | \(0.8186 \pm 0.1372\) | |
(3): Integrating Shearlet-based existing techniques with our proposed methods | |||||||
Fusion #1 | ACC% | \(95.11\% \pm 7.67\%\) | \(88.42\% \pm 7.84\%\) | \(92.65\% \pm 8.26\%\) | \(92.06\% \pm 7.23\%\) | \(87.83\% \pm 5.07\%\) | \(79.45\% \pm 10.88\%\) |
AUC | \(0.9860 \pm 0.0353\) | \(0.9527 \pm 0.0475\) | \(0.9721 \pm 0.0511\) | \(0.9645 \pm 0.0603\) | \(0.9651 \pm 0.0302\) | \(0.8867 \pm 0.0704\) | |
Sen | \(0.9321 \pm 0.0985\) | \(0.8750 \pm 0.0807\) | \(0.9321 \pm 0.0718\) | \(0.9196 \pm 0.0968\) | \(0.8661 \pm 0.0597\) | \(0.7429 \pm 0.1543\) | |
Prec | \(0.9589 \pm 0.0945\) | \(0.8833 \pm 0.1277\) | \(0.9181 \pm 0.1222\) | \(0.9125 \pm 0.1006\) | \(0.8724 \pm 0.0991\) | \(0.8111 \pm 0.1621\) | |
Fusion #2 | ACC% | \(\underline{96} .\underline{29} \% \pm \underline{7} .\underline{89} \%\) | \(90.99\% \pm 7.13\%\) | \(92.02\% \pm 7.86\%\) | \(90.81\% \pm 8.42\%\) | \(87.79\% \pm 5.90\%\) | \(79.26\% \pm 8.62\%\) |
AUC | \(\underline{0} .\underline{9860} \pm \underline{0} .\underline{0353}\) | \(0.9580 \pm 0.0446\) | \(0.9734 \pm 0.0525\) | \(0.9696 \pm 0.0369\) | \(0.9601 \pm 0.0322\) | \(0.8843 \pm 0.0919\) | |
Sen | \(\underline{0} .\underline{9571} \pm \underline{0} .\underline{0964}\) | \(0.9232 \pm 0.0887\) | \(0.9304 \pm 0.0736\) | \(0.9446 \pm 0.0983\) | \(0.8786 \pm 0.0436\) | \(0.7411 \pm 0.1399\) | |
Prec | \(\underline{0} .\underline{9589} \pm \underline{0} .\underline{0945}\) | \(0.8913 \pm 0.1026\) | \(0.9069 \pm 0.1189\) | \(0.8783 \pm 0.1274\) | \(0.8682 \pm 0.1247\) | \(0.7994 \pm 0.1370\) | |
Fusion #3 | ACC% | \(94.49\% \pm 7.47\%\) | \(85.48 \% \pm 9.86\%\) | - | - | - | - |
AUC | \(0.9860 \pm 0.0353\) | \(0.9523 \pm 0.0570\) | - | - | - | - | |
Sen | \(0.9304 \pm 0.0998\) | \(0.8161 \pm 0.1473\) | - | - | - | - | |
Prec | \(0.9478 \pm 0.0957\) | \(0.8718 \pm 0.1454\) | - | - | - | - | |