18Jul

Classification and Segmentation of Dendritic Cells

By R. A. / 18/07/2018 / RSIP Vision Learns / No Comments

Dry eye disease (DED) is one of the most common ophthalmic disorders. Inflammation of the ocular surface is controlled by corneal antigen-presenting cells called dendritic cells (DCs), which induce T-cell activation, and play a critical role in the pathogenesis of dry eye disease. The density of ...

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15Jul

Fingerprint Segmentation Using Deep Learning

By R. A. / 15/07/2018 / RSIP Vision Learns / No Comments

Automatic fingerprint recognition systems are based on the extraction of features from scanned fingerprint image. A successful preprocessing of the scan is an important first step towards a successful recognition, that is, comparison against a known database or the extraction of information chara...

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10Jul

Intracranial Hemorrhage and Edema Segmentation

By R. A. / 10/07/2018 / RSIP Vision Learns / No Comments

An intracranial hemorrhage (ICH) is a condition in which a blood vessel erupts inside the brain, causing internal bleeding. If not treated correctly and immediately, a brain hemorrhage can be deadly. The type of hemorrhage is usually diagnosed using a CT or MRI scan. Some hemorrhages are also acc...

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6May

3D Cardiac MRI automatic segmentation

By R. A. / 06/05/2018 / RSIP Vision Learns / No Comments

Massive progress in 3D Cardiac magnetic resonance imaging (MRI) gives today access to good 3D mapping of the heart, using gating to synchronize to the systolic phase of the pulse. MRI can give good distinction between the different tissues and blood without any hazard connected to radiation. 3D C...

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10Jan

Object Detection Methods for Robots

By R. A. / 10/01/2018 / RSIP Vision Learns / No Comments

Object detection and classification are major challenges for robotic modules. Navigation, Pick and Place and additional robotics activities are based on the ability to recognize object. Recent years has provided a great progress in object detection mainly due to machine learning methods that beca...

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11Jan

Coronary CT Angiography with Deep Learning

By R. A. / 11/01/2017 / RSIP Vision Learns / No Comments

Coronary artery pathologies are a leading cause of heart failure and death in the western world. Narrowing and hardening of the vessels carrying oxygen-rich blood to the heart, due to the accumulation of plaque on the vascular walls, is a major source of atherosclerosis, a major cardiovascular di...

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31Mar

Automatic semantic tagging of images

By R. A. / 31/03/2016 / RSIP Vision Learns / No Comments

Image and object recommender systems have been developed along with the Internet itself. The recommender systems are constructed to assist user’s navigation through the variety of content and products (videos, images or objects sold on a website) by correlating user preferences with the item’s ch...

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9Feb

Detecting Mitosis Using Deep Neural Networks

By R. A. / 09/02/2016 / RSIP Vision Learns / No Comments

Several prognostic factors indicate the state and progression of breast cancer. Grading of the state of progression and spreading of cancer enables to start the suggested treatment. In solid tumors, like breast cancer, one such prognostic factor is the mitotic figure, i.e. a cell whose chromosome...

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3Feb

Lungs tumors and nodules segmentation with Deep Learning

By R. A. / 03/02/2016 / RSIP Vision Learns / No Comments

Lung nodules are masses of tissue in the lung which on a chest X-ray or computerized tomography (CT) scan appear as round, white shadows. Though lung nodules are quite common and most of them are noncancerous (benign), some nodules may be cancerous and it is extremely important to identify them e...

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26Jan

Airways segmentation with Deep Learning

By R. A. / 26/01/2016 / RSIP Vision Learns / No Comments

Image processing is a fundamental technique in the quest to identify physical pathologies. Lung cancer is today one of the main causes of death in the world among both men and women, with an impressive rate of about five million deadly cases per year. The survival rate is strictly related to the ...

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6Dec

Vessel Segmentation Using Deep Learning

By Felicity / 06/12/2015 / RSIP Vision Learns / No Comments

Using Deep Neural Networks for Vessel Segmentation in Fundus Images    Vessel segmentation methods based on image processing techniques have long been utilized to delineate the vascular tree in clinical imaging. Many vessel segmentation algorithms exist and have been widely demonstrated in o...

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8Oct

Finding Cysts, Part Five: Final Detection

By Felicity / 08/10/2015 / RSIP Vision Learns / No Comments

Cyst Detection Using Convolutional Neural Networks Graph-search We have been working on automatically detecting the appearance of Cystoid Macular Edema (CME) in Optical Coherence Tomography (OCT) images. CME  is a buildup of fluids in the eye near the macula of the eye that can distort a person&#...

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11Aug

Automatic Detection of Macular Cysts

By Felicity / 11/08/2015 / RSIP Vision Learns / No Comments

Hacking the Automatic Detection Process: Finding Eye Cysts with A.I.   Introduction Cystoid Macular Edema (CME) is a buildup of fluids in the eye near the macula of the eye that can distort a person’s vision. Optical coherence tomography (OCT) is one of the main methods by which physic...

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27Jul

Defining the Borders within Computer Vision

By Felicity / 27/07/2015 / RSIP Vision Learns / 2 Comments

What’s the Difference between Computer Vision, Image Processing and Machine Learning?   In this page, you will learn about Computer Vision, Machine Vision and Image Processing. If you want to boost your project with the newest advancements of these powerful technologies, request a call...

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23Jun

Reflections on CVPR 2015

By Felicity / 23/06/2015 / News / No Comments

Reflections on CVPR 2015 One of our colleagues, Dr. Micha Feigin, presents his thoughts on this year’s Computer Vision & Pattern Recognition Conference: Coming back from CVPR 2015, the main conclusion is that everyone (including us) is doing neural networks, preferably deep learning. S...

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27Apr

Exploring Deep Learning & CNNs

By Felicity / 27/04/2015 / RSIP Vision Learns / No Comments

Deep Learning and Convolutional Neural Networks: RSIP Vision Blogs   In this page, you will learn about Computer Vision, Machine Vision and Image Processing. If you want to boost your project with the newest advancements of these powerful technologies, request a call from one of our best exp...

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