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Discuss about the helping of deep learning on diagnosis cancer?

Discuss about the helping of deep learning on diagnosis cancer? Nr3Wy

Table 4. shows the quantitative results for prostate cancer classification. Similar to colorectal cancer classification, MSBP-Net-ResNet achieved accurate classifications: 84. 58 Accuracy. In the comparative experiments, the single scale network (ResNet) was substantially inferior to MSBP-Net-ResNet; for instance 0. 03 in specificity also outperformed the fusion networks in all the evaluation metrics. Furthermore, MSBP-Net-MobileNet was superior to the single-scale network (MobileNet); for example, 0. 09 increase in Macro F1. As it is compared to the fusion networks, MSBP-Net-MobileNet provided a substantial performance gain in the entire evaluation metrics: 2 increase in three metrics related to accuracy as well as >0. 05 increase in sensitivity. As we observed in colorectal cancer classification, MSBP-Net-ResNet was the best performing network, achieving the best performance in all 8 evaluation metrics.

Table 4. This sentence does not start with an uppercase letterShows
shows
 the quantitative results for prostate cancer You use this word too often, consider replacing it withdesignationgradeanalysisarrangementallocationregulation
classification
. Similar to colorectal cancer You use this word too often, consider replacing it withdesignationgradeanalysisarrangementallocationregulation
classification
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MSBP-Net-ResNet
 achieved accurate You use this word too often, consider replacing it withdesignationgradeanalysisarrangementallocationregulation
classifications
: 84. 58 Accuracy.

In the comparative experiments, the single scale You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
network
 (Possible spelling mistake found.ResetRennet
ResNet
) was substantially
 inferior to Possible spelling mistake found.
MSBP-Net-ResNet
; for instance
 0. 03 in specificity also
 outperformed the fusion You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
networks
 in all the evaluation metrics.

Furthermore
, Possible spelling mistake found.
MSBP-Net-MobileNet
 was superior to the single-scale You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
network
 (Possible spelling mistake found.MobileMobilizeMobilizedAbileneMobilesMobilizes
MobileNet
); for example
, 0. 09 increase in Macro F1. As it is compared
 to the fusion You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
networks
, Possible spelling mistake found.
MSBP-Net-MobileNet
 provided a substantial performance gain in the entire evaluation metrics: 2 increase in three metrics related to accuracy as well
 as >0. 05 increase in sensitivity.

As we observed in colorectal cancer You use this word too often, consider replacing it withdesignationgradeanalysisarrangementallocationregulation
classification
, Possible spelling mistake found.
MSBP-Net-ResNet
 was the best performing You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
network
, achieving the best performance in all 8 evaluation metrics. 