6Jun

Liver Tumor Segmentation with Deep Learning

By R. A. / 06/06/2019 / RSIP Vision Learns / No Comments

Liver tumors, also known as hepatic tumors, are quite common and some poses a grim prognosis. Therefore, early detection and diagnosis has become a main goal for lowering mortality and morbidity. Benign tumors include hemangiomas, adenomas, focal nodular hyperplasia (FNH). Although malignant tumo...

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20May

Lymph Node Segmentation Module

By R. A. / 20/05/2019 / RSIP Vision Learns / No Comments

Lymph nodes are routinely examined and assessed during physical examination of patients in a clinic or hospital setting. Enlarged lymph nodes can be indicators of infection, cancer and other pathologies. Therefore, a biopsy of a suspected lymph node, which provides tissue histology or cytology is...

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16May

Brain Ventricles Segmentation with Deep Learning

By R. A. / 16/05/2019 / RSIP Vision Learns / No Comments

The brain ventricular system is in charge of cerebrospinal fluid (CSF) production, which is essential for its normal function. In addition to providing physical protection to the brain tissue, it provides the nervous system with nutrients and removes waste among other functions. The ventricular s...

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21Mar

Sinus segmentation with deep learning

By R. A. / 21/03/2019 / RSIP Vision Learns / No Comments

The paranasal sinuses are air-filled spaces surrounding the nasal cavity. The sinuses include the maxillary (purple in the image below), frontal (red), ethmoidal (blue) and sphenoidal (green) sinuses. Due to being air filled, the sinuses make the skull lighter and help with filtration of inhaled ...

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20Mar

Brain Hemorrhage Segmentation with Deep Learning

By R. A. / 20/03/2019 / RSIP Vision Learns / No Comments

Intracranial hemorrhage is defined as bleeding within the cranium. Bleeding can occur within the brain parenchyma itself, giving way to what is called intra-axial bleed or intracerebral hemorrhage. On the other hand, bleeding outside the brain tissue is referred to as extra-axial bleed. Subtypes ...

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18Mar

Dental Segmentation with Deep Learning

By R. A. / 18/03/2019 / RSIP Vision Learns / No Comments

Dental problems affect people of all ages and ethnic groups, and are common worldwide. With many patients suffering from tooth decay, orthodontic issues and even oral cancer, the need of oral surgeries and other treatments increases constantly. Recent advancements in technology allow safer and mo...

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10Mar

Lung vasculature segmentation

By R. A. / 10/03/2019 / RSIP Vision Learns / No Comments

Lungs vasculature has a major part in blood oxygenation. The complicated branches of arteries and veins, accompanied by the intricate bronchial tree are in charge of gas exchange, where inhaled air, containing oxygen, enters the lungs and through the bronchial tree it reaches the alveoli. There, ...

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7Mar

Lung Tumor Segmentation

By R. A. / 07/03/2019 / RSIP Vision Learns / No Comments

Lung cancer is the most common cancer related mortality cause among men, and second in women worldwide. Primary lung cancer is usually divided into two groups: Non-Small Cell Lung Cancer (NSCLC), and Small Cell Lung Cancer (SCLC), the former being the most common. In cases that are diagnosed late...

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10Jan

Tissue Analysis with AI

By R. A. / 10/01/2019 / RSIP Vision Learns / No Comments

RSIP Vision is introducing Deep Learning in the biopsy analysis procedure. Here is how the benefits of tissue analysis with AI have become available. Biopsy is the key examination used to determine the presence of most malignant tumors. Notwithstanding its importance and the need for millions of ...

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8Jan

Detection and Segmentation of Dendritic Cells

By R. A. / 08/01/2019 / RSIP Vision Learns / No Comments

Dendritic cells are a type of antigen-presenting cells and have an integral part in the normal functioning immune system, in that they help to initiate primary immune response. Dendritic cells are typically present in tissues that come in contact with the external environment. That includes the s...

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6Jan

Lung Nodules Segmentation

By R. A. / 06/01/2019 / RSIP Vision Learns / No Comments

Pulmonary nodules (AKA lung nodules) are small masses (up to 30mm) of tissue surrounded by pulmonary parenchyma. They are quite common finding on computerized tomography (CT) scans, and although most lung nodules are benign, some are cancerous. Some of the characteristics of the nodules may indic...

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3Jan

Lung Fissures Segmentation

By R. A. / 03/01/2019 / RSIP Vision Learns / No Comments

Lung fissures are double folds of visceral pleura that section the lungs to lobes. Both lungs have an oblique fissure separating the upper and lower lobes, and the right lung has a horizontal fissure separating the right middle lobe from the upper lobe. Identifying these borders is an important p...

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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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