Medical Image Processing Research Papers

Medical Image Processing Research Papers-81
Furthermore, we generalise our method to segment four fundus datasets from different devices without further training, outperforming the state-of-the-art on two and achieving comparable results on the remaining two.Full article Figure 3 Examples of joint OD-OC segmentation results.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.

Furthermore, we generalise our method to segment four fundus datasets from different devices without further training, outperforming the state-of-the-art on two and achieving comparable results on the remaining two.Full article Figure 3 Examples of joint OD-OC segmentation results.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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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.

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.Colour fundus photography allows the optic disc (OD) [...] Read more.Colour fundus photography allows the optic disc (OD) to be examined to diagnose glaucoma.A good segmentation result can be very useful for any medical diagnosis system and the doctors as well, since it can help towards the diagnosis of a disease in an early stage and thus the application of more effective treatments.In the light of these needs, this special issue manages to get a snapshot of the current advances in segmentation of medical images of any modality.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.Once you are registered, click here to go to the submission form. Research articles, review articles as well as short communications are invited.For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.From the first row to the fifth row, the examples are from the Origa, DRIONS-DB, Drishti-GS, ONHSD, and RIM-ONE respectively.The green contour refers to the ground truth provided with the images while the blue one indicates the results of our proposed method.

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