**4. Conclusions**

Serous type ovarian adenocarcinoma cells with chemoresistance have more obvious edges and 3D structures, and the images were respected to have the higher contrast and entropy, lower energy and homogeneity. This provides the means to obtain a quantitative evaluation of the chemoresistance risk. It is a promising model to achieve a rapid method with a more reliable diagnostic performance for identification of ovarian adenocarcinoma cells with cisplatin-resistance by feature extraction of GLCM in vitro or ex vivo. In the future, the cells of the same patient could be taken from various stages of treatments to monitor morphological and physiological changes for cancerous conditions. It provides a quantitative evaluation of chemoresistance risk for chemotherapeutic agents in the next treatments. It can help to detect chemoresistance of cancer cells before the new therapeutics.

**Author Contributions:** Conceptualization, C.-L.H. and W.-T.C.; investigation, M.-J.L., Y.-H.W. and W.-M.C.; supervision, C.-L.H. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by College Student Research Scholarship of Ministry of Science and Technology (MOST) in Taiwan under gran<sup>t</sup> no. (107-2813-C-006-179-B) and sponsored by the Ministry of Education in Taiwan.

**Acknowledgments:** The authors would like to thank the financial support provided to this study by College Student Research Scholarship of Ministry of Science and Technology (MOST) in Taiwan under gran<sup>t</sup> no. (107-2813-C-006-179-B) and sponsored by the Ministry of Education in Taiwan.

**Conflicts of Interest:** The authors declare no conflict of interest.
