Deep Learning for Segmentation of Polyps for Early Prediction of Colorectal Cancer: A Prosperous Direction
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2680-0_36
Reference35 articles.
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3. Misawa M et al (2021) Current status and future perspective on artificial intelligence for lower endoscopy. Dig Endosc 33(2):273–284
4. Kominami Y et al (2016) Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy. Gastrointest Endosc 83(3):643–649
5. Sahu G, Seal A, Bhattacharjee D, Nasipuri M, Brida P, Krejcar O (2022) Trends and prospects of techniques for haze removal from degraded images: a survey. IEEE Trans Emerg Top Comput Intell
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