An algorithm for overlapping chromosome segmentation based on region selection

Author:

Liu Xiangbin,Wang Sisi,Lin Jerry Chun-WeiORCID,Liu Shuai

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference20 articles.

1. Sharma M, Saha O, Sriraman A, Hebbalaguppe R, Vig L, Karande S (2017) Crowdsourcing for chromosome segmentation and deep classification. IEEE Conf Comput Vis Pattern Recognit Workshops 1:786–793

2. Zhang J, Hu W, Li S, Wen Y, Bao Y, Huang H, Xu C, Qian D (2021) Chromosome classification and straightening based on an interleaved and multi-task network. IEEE J Biomed Health Inform 25:3240–3251

3. Long J, Shelhamer E, Darrell T (2015) Fully convolutional networks for semantic segmentation. IEEE Conf Comput Vis Pattern Recognit 1:3431–3440

4. Ronneberger O, Fischer P, Brox T (2015) U-Net: convolutional networks for biomedical image segmentation. Int Conf Med Image Comput Comput Assist Interv 9351:234–241

5. Zhou Z, Rahman Siddiquee MM, Tajbakhsh N, Liang J (2018) UNet++: a nested U-Net architecture for medical image segmentation. Deep Learn Med Image Anal Multimodal Learn Clin Decis Support 11045:3–11

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