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Denoising of computed tomography using bilateral median based autoencoder network., , , , , , and . Int. J. Imaging Syst. Technol., 32 (3): 935-955 (2022)Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach., , , , , and . Biomed. Signal Process. Control., (2021)Survey of denoising, segmentation and classification of magnetic resonance imaging for prostate cancer., , , , , , , and . Multim. Tools Appl., 80 (19): 29199-29249 (2021)Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images., , , , , and . Expert Syst. Appl., (2022)A review on cephalometric landmark detection techniques., , , , , , , , and . Biomed. Signal Process. Control., (2021)Autoencoder-based dense denoiser and block-based wiener filter for noise reduction of optical coherence tomography., , , , and . Comput. Electr. Eng., (May 2023)Deep learning-based classification network for glaucoma in retinal images., , , , , and . Comput. Electr. Eng., (2022)PC-SNet for automated detection of prostate cancer in multiparametric-magnetic resonance imaging., , , , , and . Int. J. Imaging Syst. Technol., 32 (6): 1861-1879 (2022)Supply Chain Coordination Under Service Level Constraint and Controllable Lead Time., and . Int. J. Oper. Res. Inf. Syst., 7 (2): 84-106 (2016)DC-Gnet for detection of glaucoma in retinal fundus imaging., , , , , and . Mach. Vis. Appl., 31 (5): 34 (2020)