RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model
Abstract
:1. Introduction
2. Methods
2.1. Data
2.2. Image Preprocessing
2.3. RGB Channel Superposition
2.4. Classification Deep Learning Model
2.5. Evaluation of the Deep Learning Model Performance
2.6. Statistical Analysis
3. Results
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Precision (%) | Recall (%) | F1-Score (%) | Accuracy (%) | |
---|---|---|---|---|
MR + OG+ OB | 90.18 | 68.51 | 77.51 | 79.56 |
MR + OG + OR | 89.60 | 69.59 | 77.96 | 79.89 |
MR + OB + OR | 90.05 | 72.55 | 79.94 | 81.31 |
MG + OG + OB | 89.18 | 70.46 | 78.61 | 80.22 |
MG + OG + OR | 89.75 | 70.03 | 78.37 | 80.22 |
MG + OB + OR | 89.86 | 68.96 | 77.85 | 79.67 |
MB + OG + OB | 91.19 | 68.53 | 77.58 | 79.89 |
MB + OG + OR | 87.88 | 70.65 | 78.10 | 79.67 |
MB + OB + OR | 88.77 | 68.35 | 77.26 | 78.80 |
Precision (%) | Recall (%) | F1-Score (%) | Accuracy (%) | |
---|---|---|---|---|
Original image | 84.73 | 57.45 | 68.25 | 72.46 |
Acetowhite mask | 84.70 | 66.45 | 74.41 | 76.28 |
RGB channel superposition | 90.05 | 72.55 | 79.94 | 81.31 |
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Kim, Y.J.; Ju, W.; Nam, K.H.; Kim, S.N.; Kim, Y.J.; Kim, K.G. RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model. Sensors 2022, 22, 3564. https://doi.org/10.3390/s22093564
Kim YJ, Ju W, Nam KH, Kim SN, Kim YJ, Kim KG. RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model. Sensors. 2022; 22(9):3564. https://doi.org/10.3390/s22093564
Chicago/Turabian StyleKim, Yoon Ji, Woong Ju, Kye Hyun Nam, Soo Nyung Kim, Young Jae Kim, and Kwang Gi Kim. 2022. "RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model" Sensors 22, no. 9: 3564. https://doi.org/10.3390/s22093564