An entropy-based automated approach to prostate biopsy ROI segmentation

Bueno, Gloria; Fernández-Carrobles, M. Milagro; Déniz, Óscar; Jesus, S. M.; Vállez, Noelia; García-Rojo, Marcial

doi:10.1186/1746-1596-8-s1-s24

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…However, none of the imaging methods can be regarded as reliable enough on its own, careful attention must to be paid to delicate situations. Prostate biopsy of the biomarkers [ 25 ] combined with an entropy-based automated approach to ROI segmentation [ 26 ] may provide benefit for diagnosis of BPH or prostate cancer. What’s more, the sample size in the present study is not large enough, so a retrospective study based on larger sample size is needed to confirm the findings in this study in future.…”

Section: Discussionmentioning

confidence: 99%

RETRACTED ARTICLE: Clinical application of contrast enhanced ultrasound to diagnose benign prostatic hyperplasia

Shi

Yin

et al. 2014

Diagn Pathol

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BackgroundThis study aimed to investigate the clinical significance of contrast enhanced ultrasound (CEUS) in diagnosis of benign prostatic hyperplasia (BPH) through comparing CEUS parameters between BPH and normal person.MethodsA retrospective study of sixty BPH patients (aged 73.5 ± 20.5 years old) and thirty normal controls without prostate diseases (aged 75.3 ± 19.7 years old) who had accepted CEUS detection were performed. Time-intensity curves were obtained for all tests in regions of interest. Images were processed using ACQ software and the following parameters were obtained: arrival time (AT), peak intensity (P), time to peak (TP), area under the curve (AUC), mean transit time (MTT) and extinction time (ET). Differences in inner and outer gland of prostate between BPH and the normal tissue were evaluated.ResultsThere was a clear boundary between the inner and outer gland of BPH prostate. AT, TP, MTT, ET and P in BPH outer gland were significantly higher than the control group. In inner gland, MTT, ET, AUC and P were also significantly higher than the controls. The accurate rate to diagnose BPH using CEUS was 95.6%, and the sensitivity and specificity were 95.0% and 96.7%, respectively.ConclusionsAmong these significantly changed parameters, the increases of MTT, ET and AUC in inner gland and AT, TP in outer gland were most likely related to BPH. These parameters provide an objective visual assessment to diagnosis of BPH.Virtual SlidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/4852383312229155

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Section: Discussionmentioning

confidence: 99%

RETRACTED ARTICLE: Clinical application of contrast enhanced ultrasound to diagnose benign prostatic hyperplasia

Shi

Yin

et al. 2014

Diagn Pathol

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“…We will introduce the major categories of detection and segmentation approaches and explain the mathematical models for basic methods, with discussing their advantages and limitations. The preprocessing techniques including color normalization and image denoising, which are presented in [15], [21], [22], and extraction of regions of interest, which are introduced in [23], [24], [25], prior to the detection or segmentation will not be reviewed in this paper. Meanwhile, although immunohistochemical staining is also used to facilitate manual assessment of image analysis [26], [27], it is beyond the scope of this paper.…”

Section: Introductionmentioning

confidence: 99%

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Xing

Yang

2016

IEEE Rev. Biomed. Eng.

442

220

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Digital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology or tissue structure. Manual assessment is labor intensive and prone to inter-observer variations. Computer-aided methods, which can significantly improve the objectivity and reproducibility, have attracted a great deal of interest in recent literatures. Among the pipeline of building a computer-aided diagnosis system, nucleus or cell detection and segmentation play a very important role to describe the molecular morphological information. In the past few decades, many efforts have been devoted to automated nucleus/cell detection and segmentation. In this review, we provide a comprehensive summary of the recent state-of-the-art nucleus/cell segmentation approaches on different types of microscopy images including bright-field, phase-contrast, differential interference contrast (DIC), fluorescence, and electron microscopies. In addition, we discuss the challenges for the current methods and the potential future work of nucleus/cell detection and segmentation.

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Intelligent framework for brain tumor grading using advanced feature analysis

Mohan

2022

Computer Methods in Biomechanics and Biomedical Engineering: Im

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An entropy-based automated approach to prostate biopsy ROI segmentation

Cited by 4 publications

References 6 publications

RETRACTED ARTICLE: Clinical application of contrast enhanced ultrasound to diagnose benign prostatic hyperplasia

RETRACTED ARTICLE: Clinical application of contrast enhanced ultrasound to diagnose benign prostatic hyperplasia

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Intelligent framework for brain tumor grading using advanced feature analysis

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