14Aug

Deep Learning in Cardiology

By R. A. / 14/08/2018 / RSIP Vision Learns / No Comments

1.1 Segmentation tasks [10] suggest a new fully convolutional network architecture for the task of cardiovascular MRI segmentation. The architecture is based on the idea of network blocks in which each layer is densely connected with auxiliary side paths (skip connections) to all the following la...

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13Aug

Deep Learning in Pulmonology

By R. A. / 13/08/2018 / RSIP Vision Learns / No Comments

Deep learning has been successfully applied in various applications in pulmonary imaging, including CT registration, airway mapping, real time catheter navigation, and pulmonary nodule detection. Some of these applications are still in ongoing development, and here we review few of the most recen...

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12Aug

Deep Learning in Ophthalmology

By R. A. / 12/08/2018 / RSIP Vision Learns / No Comments

Recent works suggest novel deep learning tools for detection, segmentation and characterization of eye disorders. Accurate segmentation of retinal fundus lesions and anomalies in imaging data is an important technical step for early detection and treatment of common eye disorders, and a central a...

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9Aug

Deep Learning in Brain Imaging

By R. A. / 09/08/2018 / RSIP Vision Learns / No Comments

In this article we discuss several recent leading works about Deep Learning in brain imaging and brain microscopy. We organize the works in subsections according to the general algorithmic tasks: segmentation, registration, classification, image enhancement or other tasks. The categories are not ...

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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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22Feb

Computer-Assisted Joint Replacement (hip and knee)

By R. A. / 22/02/2018 / RSIP Vision Learns / No Comments

With use and time, body joints deteriorate, mainly as an effect of aging and shocks on the cartilage layer cushioning between bones. The consequences of this deterioration can be serious and cause problems to the regular functioning of the joint. Cases of hip and knee beginning to lose cartilage ...

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14Jun

Cardiovascular Ultrasound Software

By R. A. / 14/06/2017 / RSIP Vision Learns / No Comments

Heart failure is the leading cause of mortality in the western world. Routine examination in clinics can greatly reduce the risk of heart failure by recognizing early symptoms, correcting classification and assigning appropriate treatment. Monitoring the heart during a clinic visit can shed light...

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8Mar

ROP: Retinopathy of Prematurity

By R. A. / 08/03/2017 / RSIP Vision Learns / No Comments

Retinopathy of prematurity (ROP) is a leading cause of blindness in infants. ROP (or Terry syndrome) is a disease of the eye affecting prematurely-born, low birthweight infants having received intensive neonatal care which includes oxygen therapy. Oxygen toxicity causes abnormal growth of retinal...

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22Feb

CT Segmentation in orthopedic surgery

By R. A. / 22/02/2017 / RSIP Vision Learns / No Comments

CT image segmentation is a typical phase of orthopedic surgeries in which a visualization system is called to visually support the surgeon’s task. This system provides a real time view of the surgery environment, as well as information coming from the pre-op planning and from the CT. It enables h...

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22Jan

Meibomian gland dysfunction detection

By R. A. / 22/01/2017 / RSIP Vision Learns / No Comments

Meibomian gland dysfunction is often seen as an early stage of dry eye syndrome. Indeed, Meibomian glands play a significant role in tears production by contributing lipids to the superficial tear film. Pathologies which occur in meibomian glands limit the secretion of oil, causing poor lubricati...

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3Jan

Lung Segmentation Software

By R. A. / 03/01/2017 / RSIP Vision Learns / No Comments

The lower respiratory tract in humans includes the lungs along with their pulmonary vasculature. High degree of capillary and pulmonary branching in the respiratory system provides humans with a surface area of about 70 squared meters, in which an exchange of oxygen and CO2 are continuously being...

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2Jan

Retinal inner layers segmentation

By R. A. / 02/01/2017 / RSIP Vision Learns / No Comments

OCT is the only method that can perform noninvasive imaging with non-ionizing radiation and offering relatively good resolution. That is why it has become a standard in clinical ophthalmology. Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis...

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28Nov

Geographic Atrophy Segmentation Using SD-OCT

By R. A. / 28/11/2016 / RSIP Vision Learns / No Comments

In a previous article, we talked about Geographic Atrophy segmentation in 2D images. This article focuses on how OCT images shed light on the development of Geographic Atrophy (GA) pathology. This spectral-domain optical coherence tomography (SD-OCT) modality with its 3D information enables a bet...

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24Nov

Geographic Atrophy (GA)

By R. A. / 24/11/2016 / RSIP Vision Learns / No Comments

Geographic Atrophy (generally called GA) is a case of advanced Dry AMD (Age-related Macular Degeneration) which might lead to vision loss. As a consequence of the thinning of the retina and loss of RPE layer (Retinal Pigment Epithelium, located just outside the retina) via death of rods and cones...

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7Aug

Segmentation and tracking of kidney stones

By R. A. / 07/08/2016 / RSIP Vision Learns / No Comments

An affected anatomical region can be treated in a selective and non-invasive manner by localized and contact-free methods such as high-intensity focused ultrasound. Treatment by selective use of focused beams offers higher patients benefit than non-selective therapy since they spare the healthy t...

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19Jul

Lesion segmentation by random-forest classifiers

By R. A. / 19/07/2016 / RSIP Vision Learns / No Comments

Segmentation of lesions in images, such as those obtained from MRI, ultrasound, CT etc, can be viewed as classifying pixels (or voxels, in the 3-D case) of the image into one or more classes. In the general case, several classes are used, indicating the membership, or probability of each pixel to...

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18Jul

Gastrointestinal lesion detection with machine learning

By R. A. / 18/07/2016 / RSIP Vision Learns / No Comments

Detection of cysts, polyps, or solid tumors is an important first step in diagnosis and clinical decision making. Cancerous gastric lesions and solid tumors now rank as the number 5 for most common cancers worldwide. Endoscopic examination is performed to disclose the lesion’s biophysical p...

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