Prostate cancer detection using Henry firefly gas solubility optimization-based deep residual network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16655-5.pdf
Reference32 articles.
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2. Yoo S, Gujrathi I, Haider MA, Khalvati F (2019) Prostate cancer detection using deep convolutional neural networks. Sci Rep 9(1):1–10
3. Yu X, Lou B, Zhang D, Winkel D, Arrahmane N, Diallo M, Meng T, von Busch H, Grimm R, Kiefer B, Comaniciu D (2020) Deep attentive panoptic model for prostate cancer detection using biparametric MRI Scans, In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, pp 594–604
4. Cao R, Bajgiran AM, Mirak SA, Shakeri S, Zhong X, Enzmann D, Raman S, Sung K (2019) Joint prostate cancer detection and gleason score prediction in mp-MRI via FocalNet. IEEE Trans Med Imaging 38(11):2496–2506
5. De Vente C, Vos P, Hosseinzadeh M, Pluim J, Veta M (2020) Deep learning regression for prostate cancer detection and grading in bi-parametric MRI. IEEE Trans Biomed Eng 68(2):374–383
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