CVDec 18, 2015
Multiclass Classification of Cervical Cancer Tissues by Hidden Markov Model
arXiv:1512.06014v210 citations
Originality Synthesis-oriented
AI Analysis
This work addresses tissue classification for cervical cancer diagnosis, but it appears incremental as it applies an existing method to new data.
The paper tackled multiclass classification of cervical cancer tissues using a hidden Markov model on refractive index time series, achieving higher accuracy.
In this paper, we report a hidden Markov model based multiclass classification of cervical cancer tissues. This model has been validated directly over time series generated by the medium refractive index fluctuations extracted from differential interference contrast images of healthy and different stages of cancer tissues. The method shows promising results for multiclass classification with higher accuracy.