Table 3 Details of Results of Experiments 1 and 2
From: A convolutional neural network-based system to classify patients using FDG PET/CT examinations
Experiment 1 | ||||
|---|---|---|---|---|
(a) Image-based | Correct Label | |||
Benign | Malignant | Equivocal | ||
Prediction | Benign | 96.6% | 2.4% | 10.1% |
Malignant | 0.3% | 97.3% | 12.1% | |
Equivocal | 3.2% | 0.2% | 77.8% | |
(b) Image-based Evaluation Measures | Â | Recall score | Precision score | F measure |
Prediction | Benign | 0.966 | 0.917 | 0.941 |
Malignant | 0.973 | 0.936 | 0.954 | |
Equivocal | 0.778 | 0.986 | 0.87 | |
(c) Patient-based Algorithm A | Correct Label | |||
Benign | Malignant | Equivocal | ||
Prediction | Benign | 91.0% | 0.0% | 0.0% |
Malignant | 9.0% | 100.0% | 42.5% | |
Equivocal | 0.0% | 0.0% | 57.5% | |
(d) Patient -based Algorithm A Evaluation Measures | Â | Recall score | Precision score | F measure |
Prediction | Benign | 0.910 | 1.000 | 0.953 |
Malignant | 1.000 | 0.764 | 0.866 | |
Equivocal | 0.575 | 1.000 | 0.730 | |
(e) Patient-based Algorithm B | Correct Label | |||
Benign | Malignant | Equivocal | ||
Prediction | Benign | 99.4% | 0.6% | 3.8% |
Malignant | 0.6% | 99.4% | 8.8% | |
Equivocal | 0.0% | 0.0% | 87.5% | |
(f) Patient -based Algorithm BÂ Evaluation Measures | Â | Recall score | Precision score | F measure |
Prediction | Benign | 0.994 | 0.975 | 0.984 |
Malignant | 0.994 | 0.951 | 0.972 | |
Equivocal | 0.875 | 1.000 | 0.933 | |
Experiment 2 | ||||
(g) Head and Neck | Correct Label | |||
Benign | Malignant | Equivocal | ||
Prediction | Benign | 97.8% | 1.7% | 3.0% |
Malignant | 1.5% | 97.3% | 0.8% | |
Equivocal | 0.7% | 1.1% | 96.2% | |
(hd) Chest | Correct Label | |||
Benign | Malignant | Equivocal | ||
Prediction | Benign | 98.4% | 1.8% | 5.9% |
Malignant | 0.6% | 96.6% | 1.6% | |
Equivocal | 1.0% | 1.6% | 92.5% | |
(i) Abdomen | Correct Label | |||
Benign | Malignant | Equivocal | ||
Prediction | Benign | 94.9% | 5.7% | 7.0% |
Malignant | 1.1% | 92.8% | 2.0% | |
Equivocal | 4.1% | 1.5% | 91.0% | |
(j) Pelvic region | Correct Label | |||
Benign | Malignant | Equivocal | ||
Prediction | Benign | 99.7% | 0.4% | 2.8% |
Malignant | 0.1% | 99.6% | 1.9% | |
Equivocal | 0.3% | 0.0% | 95.3% | |