Table 3 Numerical results in terms of average DP and sensitivity (SENS) values (standard deviation) for Deep-Manager (DM) and METHODS 1–6 for Case Study 3 using network architectures ResNET101, VGG19, and NasNETLarge.
From: Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis
CASE STUDY 3 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RESNET101 | ||||||||||||||
DM | METHOD 1 | METHOD2 | METHOD3 | METHOD4 | METHOD5 | METHOD6 | ||||||||
SENS | DP | SENS | DP | SENS | DP | SENS | DP | SENS | DP | SENS | DP | SENS | DP | |
TEST1 | 0.04 (0.03) | 0.71 (0.05) | 0.07 (0.05) | 0.70 (0.06) | 0.04 (0.03) | 0.56 (0.07) | 0.04 (0.03) | 0.57 (0.07) | 0.07 (0.05) | 0.70 (0.06) | 0.03 (0.03) | 0.52 (0.02) | 0.05 (0.04) | 0.60 (0.08) |
TEST2 | 0.04 (0.02) | 0.67 (0.02) | 0.43 (0.01) | 0.51 (0.01) | 0.05 (0.02) | 0.53 (0.01) | 0.05 (0.02) | 0.53 (0.01) | 0.43 (0.01) | 0.52 (0.01) | 0.04 (0.02) | 0.53 (0.01) | 0.14 (0.11) | 0.54 (0.03) |
TEST3 | 0.05 (0.03) | 0.70 (0.04) | 0.13 (0.07) | 0.68 (0.07) | 0.04 (0.04) | 0.54 (0.05) | 0.04 (0.04) | 0.54 (0.05) | 0.13 (0.07) | 0.68 (0.06) | 0.03 (0.04) | 0.52 (0.02) | 0.09 (0.07) | 0.58 (0.07) |
VGG19 | ||||||||||||||
TEST1 | 0.03 (0.02) | 0.70 (0.03) | 0.05 (0.04) | 0.67 (0.05) | 0.01 (0.01) | 0.51 (0.02) | 0.01 (0.01) | 0.51 (0.02) | 0.05 (0.04) | 0.68 (0.04) | 0.01 (0.01) | 0.51 (0.01) | 0.04 (0.04) | 0.57 (0.08) |
TEST2 | 0.04 (0.03) | 0.70 (0.04) | 0.29 (0.08) | 0.55 (0.07) | 0.03 (0.04) | 0.51 (0.02) | 0.03 (0.04) | 0.51 (0.02) | 0.29 (0.08) | 0.56 (0.06) | 0.02 (0.03) | 0.51 (0.01) | 0.11 (0.10) | 0.54 (0.04) |
TEST3 | 0.04 (0.03) | 0.69 (0.03) | 0.07 (0.05) | 0.67 (0.06) | 0.02 (0.02) | 0.52 (0.02) | 0.02 (0.02) | 0.52 (0.02) | 0.06 (0.05) | 0.68 (0.05) | 0.01 (0.01) | 0.51 (0.02) | 0.04 (0.04) | 0.57 (0.07) |
NASNETLARGE | ||||||||||||||
TEST1 | 0.05 (0.03) | 0.70 (0.04) | 0.27 (0.07) | 0.61 (0.07) | 0.09 (0.09) | 0.53 (0.04) | 0.09 (0.09) | 0.53 (0.04) | 0.30 (0.07) | 0.58 (0.06) | 0.02 (0.03) | 0.50 (0.01) | 0.14 (0.10) | 0.57 (0.05) |
TEST2 | 0.04 (0.03) | 0.75 (0.05) | 0.06 (0.05) | 0.74 (0.07) | 0.06 (0.06) | 0.70 (0.10) | 0.06 (0.06) | 0.71 (0.10) | 0.06 (0.06) | 0.73 (0.08) | 0.05 (0.05) | 0.70 (0.11) | 0.08 (0.07) | 0.65 (0.10) |
TEST3 | 0.03 (0.01) | 0.74 (0.05) | 0.03 (0.03) | 0.73 (0.06) | 0.04 (0.03) | 0.69 (0.10) | 0.04 (0.03) | 0.69 (0.10) | 0.03 (0.03) | 0.74 (0.06) | 0.03 (0.03) | 0.70 (0.10) | 0.05 (0.04) | 0.64 (0.10) |
DENSENET201 | ||||||||||||||
TEST1 | 0.04 (0.03) | 0.71 (0.04) | 0.13 (0.08) | 0.67 (0.07) | 0.11 (0.07) | 0.64 (0.08) | 0.11 (0.07) | 0.64 (0.08) | 0.14 (0.08) | 0.67 (0.07) | 0.13 (0.08) | 0.67 (0.08) | 0.09 (0.07) | 0.60 (0.07) |
TEST2 | 0.05 (0.03) | 0.71 (0.04) | 0.18 (0.11) | 0.65 (0.09) | 0.16 (0.10) | 0.64 (0.08) | 0.17 (0.10) | 0.64 (0.08) | 0.19 (0.10) | 0.64 (0.09) | 0.19 (0.11) | 0.64 (0.09) | 0.17 (0.12) | 0.64 (0.09) |
TEST3 | 0.03 (0.02) | 0.72 (0.05) | 0.05 (0.05) | 0.71 (0.06) | 0.05 (0.04) | 0.67 (0.09) | 0.05 (0.04) | 0.68 (0.09) | 0.05 (0.04) | 0.71 (0.06) | 0.05 (0.05) | 0.71 (0.06) | 0.06 (0.04) | 0.62 (0.08) |
