… In this paper, a novel 2D prostate segmentation framework is proposed to tackle the
aforementioned problems, by exploiting intrinsic properties of TRUS images. Firstly, speckle-…

… of the prostate in TRUS, as well as the large variability in prostate … modules for better prostate
segmentation in TRUS by fully … Liu, “Robust prostate segmentation using intrinsic properties …

… of existing prostate segmentation techniques using TRUS imaging. Section 4 describes prostate
segmentation … , and this paper illustrates that it was wellsuited for prostate segmentation. …

… First, in the learning stage, the intrinsic feature hierarchy from MR prostate image patches
is learned by using a deep learning framework, namely the stacked sparse auto-encoder (…

… In comparison, we used the high-level features that are intrinsic and meaningful to locate the
prostate and we use the deconvolution to optimize the combination of DNN and superpixels …

… Some of the approaches used by researchers for segmentation of prostate using contour …
segmentation algorithm based on the orientation property which is intrinsic to the prostate MRI …

… -of-the art segmentation accuracy. Conclusion: Re… prostate volume segmentation. Significance:
This paper presents a modular framework for accurate prostate volume segmentation in …

… learning-based prostate segmentation method in this article. For segmenting the prostate
in a … to take a few seconds to manually specify the first and last slices of the prostate. Then, …

… segmentation. We evaluate the proposed segmentation approach on a set of 280 transrectal
prostate … This sparse nature of brachytherapy TRUS images in addition to the intrinsic …

… (2015) used the intrinsic properties of speckles to facilitate this work. They believed that the
direction of scattered speckles varies according to statistical priori rules. In order to perform …