Petäinen, L., tiedekunta, I., Technology, F. o. I., Informaatioteknologia, Technology, I., yliopisto, J., & Jyväskylä, U. o. (2022). The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images.
Chicago Style (17th ed.) CitationPetäinen, Liisa, Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, and University of Jyväskylä. The Potential of Convolutional Neural Network in the Evaluation of Tumor-stroma Ratio from Colorectal Cancer Histopathological Images. 2022.
MLA (9th ed.) CitationPetäinen, Liisa, et al. The Potential of Convolutional Neural Network in the Evaluation of Tumor-stroma Ratio from Colorectal Cancer Histopathological Images. 2022.