Medical Image Processing Research Papers

Medical Image Processing Research Papers-8
The predicted OD and OC boundaries are then used to estimate the CDR on two axes for glaucoma diagnosis.We assess the proposed method’s performance using a large retinal colour fundus dataset, outperforming state-of-the-art segmentation methods.

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Τhis Special Issue aims to publish high-quality research papers, as well as review articles addressing emerging trends in medical image segmentation.

Original contributions, not currently under review to a journal or a conference, are solicited in relevant areas including, but not limited to, the following: Manuscript Submission Information Manuscripts should be submitted online at com by registering and logging in to this website. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website.

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Humain-Lab, Department of Computer and Informatics Engineering Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece Interests: pattern recognition; computer/machine vision; computational intelligence; machine learning; feature extraction; evolutionary optimization; signal and image processing Dear Colleagues, Nowadays, there is an increasing interest in computer-aided medical image processing, in a way to develop more accurate medical diagnosis systems.

Medical image segmentation constitutes a fundamental processing task that needs to be applied initially in order to extract specific regions of interest of any modality medical image.

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Due to the rapid development of powerful medical imaging devices, able to provide high resolution images of multiple volumes, the needs for efficient (accuracy, speed) segmentation methodologies have emerged.Here, we propose a new deep-learning-based method to segment the OD and optic cup (OC).The core of the proposed method is Dense Net with a fully-convolutional network, whose symmetric U-shaped architecture allows pixel-wise classification.Journal of Biomedical Engineering and Medical Imaging (JBEMi) is peer-reviewed open access bi-monthly on-line journal that provides a medium of the rapid publication of original research papers, review articles, book reviews and short communications in the field of bio-medial engineering; medical imaging, analysis and processing.It encourages interdisciplinary research and development activities in an international environment.Submitted papers should be well formatted and use good English.Authors may use MDPI's English editing service prior to publication or during author revisions.One of the difficulties in detecting such regions of interest (Ro Is) with computer vision is their symmetries, e.g., between the optic [...] Read more.The automatic detection, segmentation, localization, and evaluation of the optic disc, macula, exudates, and hemorrhages are very important for diagnosing retinal diseases.Glaucoma is a group of eye diseases which can cause vision loss by damaging the optic nerve.Early glaucoma detection is key to preventing vision loss yet there is a lack of noticeable early symptoms.


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