Gland segmentation in colorectal cancer histopathological images using U-net inspired convolutional network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06687-z.pdf
Reference18 articles.
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3. Gour M, Jain S, Agrawal R (2020) DeepRNNetSeg: deep residual neural network for nuclei segmentation on breast cancer histopathological images, in: Communications in Computer and Information Science pp 243–253 https://doi.org/10.1007/978-981-15-4018-9_23
4. Gurcan MN, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Yener B (2009) Histopathological image analysis: a review. IEEE Rev Biomed Eng 2:147–171. https://doi.org/10.1109/RBME.2009.2034865
5. Hu Z, Tang J, Wang Z, Zhang K, Zhang L, Sun Q (2018) Deep learning for image-based cancer detection and diagnosis − a survey. Pattern Recognition 83:134–149. https://doi.org/10.1016/j.patcog.2018.05.014
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