Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference52 articles.
1. Alkadi R, Taher F, El-Baz A, Naoufel W: Early diagnosis and staging of prostate cancer using magnetic resonance imaging: State of the art and perspectives. In: Prostate cancer imaging: An engineering and clinical perspective, chapter 2. Taylor & Francis, In-press
2. Badrinarayanan V, Kendall A, Cipolla R: Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans Pattern Anal Mach Intell 39 (12): 2481–2495, 2017
3. Chan I, Wells W, Mulkern RV, Haker S, Zhang J, Zou KH, Maier SE, Tempany C: Detection of prostate cancer by integration of line-scan diffusion, t2-mapping and t2-weighted magnetic resonance imaging; a multichannel statistical classifier. Med Phys 30 (9): 2390–2398, 2003
4. Chawla NV, Bowyer KW, Hall LO, Philip Kegelmeyer W: Smote: synthetic minority over-sampling technique. J Artif Intell Res 16: 321–357, 2002
5. Csurka G, Larlus D, Perronnin F, Meylan F: What is a good evaluation measure for semantic segmentation?. In: BMVC, volume 27, p 2013. Citeseer, 2013
Cited by
90 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献