Karacavus, S. Et Al. 2018. Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?. Journal of Digital Imaging , vol.31, no.2 , 210-223.

Karacavus, S., Yilmaz, B., Taşdemir, A., KAYAALTI, Ö., Kaya, E., İÇER, S., ... Ayyildiz, O.(2018). Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?. Journal of Digital Imaging , vol.31, no.2, 210-223.

Karacavus, Seyhan Et Al. "Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?," Journal of Digital Imaging , vol.31, no.2, 210-223, 2018

Karacavus, Seyhan Et Al. "Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?." Journal of Digital Imaging , vol.31, no.2, pp.210-223, 2018

Karacavus, S. Et Al. (2018) . "Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?." Journal of Digital Imaging , vol.31, no.2, pp.210-223.

@article{article, author={Seyhan Karacavus Et Al. }, title={Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?}, journal={Journal of Digital Imaging}, year=2018, pages={210-223} }