scholarly journals Mesenteric cyst detection and segmentation by multiple K-means clustering and iterative Gaussian filtering

2021 ◽  
Vol 11 (6) ◽  
pp. 4932
Author(s):  
Mohamed Nasor ◽  
Walid Obaid
Keyword(s):  
Mesenteric Cyst ◽  
Morphological Operations ◽  
Gaussian Filtering ◽  
Abdominal Organs ◽  
Segmentation Accuracy ◽  
Abdominal Ct Scan ◽  
Mesenteric Cysts ◽  
Quantitative Performance ◽  
Euclidean Distances ◽  
Very High

<span lang="EN-US">In this article a fully automated machine-vision technique for the detection and segmentation of mesenteric cysts in computed tomography (CT) images of the abdominal space is presented. The proposed technique involves clustering, filtering, morphological operations and evaluation processes to detect and segment mesenteric cysts in the abdomen regardless of their texture variation and location with respect to other surrounding abdominal organs. The technique is comprised of various processing phases, which include K-means clustering, iterative Gaussian filtering, and an evaluation of the segmented regions using area-normalized histograms and Euclidean distances. The technique was tested using 65 different abdominal CT scan images. The results showed that the technique was able to detect and segment mesenteric cysts and achieved 99.31%, 98.44%, 99.84%, 98.86% and 99.63% for precision, recall, specificity, dice score coefficient and accuracy respectively as quantitative performance measures which indicate very high segmentation accuracy.</span>

MESENTERIC CYSTS IN INFANCY AND CHILDHOOD

PEDIATRICS ◽  
1959 ◽  
Vol 24 (3) ◽  
pp. 469-476
Author(s):  
Ernest E. Arnheim ◽  
Herman Schneck ◽  
Alex Norman ◽  
David H. Dreizin
Keyword(s):  
Abdominal Pain ◽  
Operative Mortality ◽  
Intestinal Wall ◽  
Additional Case ◽  
Diagnosis And Treatment ◽  
Mesenteric Cyst ◽  
Safe Procedure ◽  
Infancy And Childhood ◽  
Mesenteric Cysts ◽  
Radiologic Features

The pathologic, clinical and radiologic features, diagnosis and treatment of mesenteric cysts in infancy and childhood, based upon a study of 82 cases in the literature, are discussed. An additional case of mesenteric cyst is presented. Mesenteric cysts were usually noted in male children from 2 to 10 years of age, presenting with abdominal enlargement and abdominal pain, and revealing characteristic roentgenographic findings. Excision of the cyst was often complicated by adhesions to the intestinal wall; simultaneous resection of the involved intestine has become a safe procedure, with an operative mortality of 7% in recent years.

MUCINOUS MESENTERIC CYST OF SIGMOID MESOCOLON : A RARE ENTITY

2021 ◽  
pp. 22-23
Author(s):  
K.Prasanth Kumar ◽  
A.D.V. Lavanya ◽  
P.Surendra Reddy
Keyword(s):  
Computed Tomography ◽  
Abdominal Pain ◽  
Small Bowel ◽  
Physical Examination ◽  
Mesenteric Cyst ◽  
Rare Entity ◽  
Small Bowel Mesentery ◽  
Mesenteric Cysts ◽  
Sigmoid Mesocolon

Mesenteric cysts are rare and occur in patients of any age. They are asymptomatic and found incidentally or during the management of their complications. They commonly originate from the small bowel mesentery, although a proportion of them have been found to originate from the mesocolon (24%) and the retroperitoneum [1] [2,3,4,5] (14.5%). A mesenteric cyst originating in the sigmoid mesocolon is a very rare nding. They are a rare cause of abdominal pain and are discovered incidentally. If symptomatic, patients with these cysts present with abdominal pain, vomiting and low backache. Performing a thorough physical examination and conducting radiological investigations like ultrasonography (USG), computed tomography (CT) are keys in diagnosing the mesenteric cysts.

scholarly journals A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery

2019 ◽  
Vol 11 (5) ◽  
pp. 482 ◽  
Author(s):  
Qi Bi ◽  
Kun Qin ◽  
Han Zhang ◽  
Ye Zhang ◽  
Zhili Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Common Knowledge ◽  
Remote Sensing Image ◽  
Morphological Operations ◽  
Building Extraction ◽  
Multi Scale ◽  
Training Samples ◽  
Image Building ◽  
Very High

Building extraction plays a significant role in many high-resolution remote sensing image applications. Many current building extraction methods need training samples while it is common knowledge that different samples often lead to different generalization ability. Morphological building index (MBI), representing morphological features of building regions in an index form, can effectively extract building regions especially in Chinese urban regions without any training samples and has drawn much attention. However, some problems like the heavy computation cost of multi-scale and multi-direction morphological operations still exist. In this paper, a multi-scale filtering building index (MFBI) is proposed in the hope of overcoming these drawbacks and dealing with the increasing noise in very high-resolution remote sensing image. The profile of multi-scale average filtering is averaged and normalized to generate this index. Moreover, to fully utilize the relatively little spectral information in very high-resolution remote sensing image, two scenarios to generate the multi-channel multi-scale filtering index (MMFBI) are proposed. While no high-resolution remote sensing image building extraction dataset is open to the public now and the current very high-resolution remote sensing image building extraction datasets usually contain samples from the Northern American or European regions, we offer a very high-resolution remote sensing image building extraction datasets in which the samples contain multiple building styles from multiple Chinese regions. The proposed MFBI and MMFBI outperform MBI and the currently used object based segmentation method on the dataset, with a high recall and F-score. Meanwhile, the computation time of MFBI and MBI is compared on three large-scale very high-resolution satellite image and the sensitivity analysis demonstrates the robustness of the proposed method.

scholarly journals Mesenteric cyst

2007 ◽  
Vol 15 (3-4) ◽  
pp. 91-93 ◽  
Author(s):  
Dragoslav Miljkovic ◽  
Dragojlo Gmijovic ◽  
Milan Radojkovic ◽  
Jasmina Gligorijevic ◽  
Zoran Radovanovic
Keyword(s):  
Clinical Presentation ◽  
Histopathological Examination ◽  
Abdominal Mass ◽  
Mesenteric Cyst ◽  
Epithelial Lining ◽  
Left Hypochondrium ◽  
Mesenteric Cysts ◽  
Traumatic Origin ◽  
Fibrous Cyst ◽  
Low Incidence

Mesenteric cysts are rare abdominal findings. Due to absent or unspecific clinical presentation, very low incidence, and lack of adequate classification these cysts may sometimes represent a diagnostic and therapeutic challenge. We report a case of 37-year-old man with vague palpatory tenderness in left hypochondrium and paraumbilically and with palpable large intra-abdominal mass in whom mesenteric cyst was diagnosed using US and CT imaging. He was operated and cyst was extirpated in toto. Histopathological examination revealed a thick fibrous cyst wall with the signs of chronic inflammation and without inner epithelial lining, which suggested its traumatic origin. Considering the possibility of malignancy mesenteric cysts should be radically resected (with resection of adjacent organs if necessary) due to their strong relapsing potential and a tendency for sudden, progressive local enlargement if not removed in toto.

scholarly journals Importance of the Ultrasonography in Diagnosis of Ileal Duplication Cyst

2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Arzu Gebesce ◽  
Mevlit Korkmaz ◽  
Esengul Keles ◽  
Feride Korkmaz ◽  
Kamran Mahmutyazıcıoglu ◽  
...  
Keyword(s):  
Ovarian Cyst ◽  
Duplication Cyst ◽  
Mesenteric Cyst ◽  
Abdominal Ultrasonography ◽  
Antenatal Ultrasonography ◽  
Mesenteric Cysts ◽  
Abdominal Mri ◽  
Double Wall ◽  
Ileal Duplication ◽  
Gastrointestinal Duplication

Gastrointestinal duplication cysts are rare congenital anomalies that can be seen in anywhere of the gastrointestinal system from the mouth to the anus. These are prenatally diagnosed through antenatal ultrasonography. However, attention must be paid since these formations might be confused with ovarian or mesenteric cysts. Our patient, who had been diagnosed with ovarian cyst on the ultrasonography performed in another center and with mesenteric cyst based on the abdominal MRI carried out at fifth month of life, presented to our clinic with the only complaint of constipation at 9th month of life. The diagnosis was set through double wall appearance of duplication cyst on the abdominal ultrasonography. The patient’s cyst was resected.

scholarly journals Mesothelial Cyst in a Young Female: Case report and literature review

2021 ◽  
pp. 203
Author(s):  
◽  
◽  
◽  
◽  
Keyword(s):  
Abdominal Mass ◽  
Correct Diagnosis ◽  
Young Female ◽  
Cystic Mass ◽  
Mesenteric Cyst ◽  
Benign Tumors ◽  
Presenting Symptoms ◽  
Abdominal Symptoms ◽  
Mesothelial Cyst ◽  
Mesenteric Cysts

Mesenteric cysts are rare intra-abdominal benign tumors (1 in 100,000 cases in adults) with various clinical presentations. [1,2] They commonly originate from the small bowel mesentery, although a proportion has been found to originate from the mesocolon, and retroperitoneum. [1,3] The formation of mesenteric cysts depends on the histologic origin, where they could be classified into cysts of lymphatic origin, cysts of mesothelial origin, cysts of enteric origin, cysts of urogenital origin, dermoid cysts and pseudocysts. [4,5] Diagnosis is extremely difficult since. The Mesenteric cyst is usually asymptomatic, but if symptomatic, abdominal pain (82%), nausea and vomiting (45%), constipation (27%) are the most common presenting symptoms. [2,3] The clinical finding of abdominal mass is encountered in more than 61% of the patients. [2,3]. As this condition is very rare and its symptomatology can resemble any other abdominal diseases, diagnosis is extremely difficult and incorrect preoperative diagnosis is often made. Hence, performing physical examination and conducting radiological investigations such as ultrasonography (USG) and computed tomography (CT) are important in making a correct diagnosis. [2,3] As well as cases of mesothelial cysts, they are typically asymptomatic but occasionally, their symptoms are vague and non-specific. [6,7] As mentioned above, imaging modalities such as USG, CT and magnetic resonance imaging (MRI) are great in identifying the character, size, location, surrounding tissues and the wall and content of the cysts. [7] Surgery is the treatment of choice, as a complete resection with negative borders is curative and often prevents recurrence. [3] We report a case of a young female patient who presented with a vague abdominal symptoms and a large cystic mass in lower abdomen. After proper evaluation, surgical exploration revealed a large simple mesothelial cyst.

scholarly journals INFORME DE UN CASO: QUISTE PARASITARIO MESENTÉRICO SUMADO A INSUFICIENCIA RENAL CRÓNICA SECUNDARIO A LUPUS ERITEMATOSO SISTÉMICO EN ADOLESCENTE.

2021 ◽  
Vol 32 (1) ◽  
pp. s15-s16
Author(s):  
Héctor David Tito ◽  
Edison Hernán Agila ◽  
Viviana Elizabeth Granja ◽  
Andrea Elizabeth Paredes
Keyword(s):  
Lupus Erythematosus ◽  
Kidney Injury ◽  
Chronic Kidney Failure ◽  
Female Adolescent ◽  
Mesenteric Cyst ◽  
Histopathological Classification ◽  
Recommended Treatment ◽  
Surgery Patient ◽  
Mesenteric Cysts ◽  
Low Incidence

Introduction Mesenteric cysts are abdominal tumors with a low incidence, the clinical presentation depends on the location and size of the cyst, the recommended treatment is surgical resolution. In next pages. Case description We present the case of a 17-year-old female adolescent with no significant personal pathological history, who initially presented nausea and incoercible vomiting, accompanied by fever and abdominal pain of 5 days of evolution, which caused moderate dehydration and consequently acute kidney injury and later chronic kidney failure that is aggravated by systemic lupus erythematosus that the patient develops during the clinical course. Concomitantly, the patient presents significant abdominal distention, so it is performed a CT scan (Tomography), which reveals the presence of a mesenteric cyst that displaces intra-abdominal organs, so it is made a reference to general surgery. Patient remains awaiting renal biopsy to determine histopathological classification for underlying autoimmune disease. The patient remains awaiting surgical resolution. Conclusion Mesenteric cyst is a rare entity, surgery is the treatment of choice and the only definitive diagnostic method for mesenteric cysts, the patient remains awaiting surgical resolution.

Large Gastric Mesenteric Cyst: Case Report and Literature Review

2005 ◽  
Vol 71 (7) ◽  
pp. 571-573 ◽  
Author(s):  
Mohammed Hassan ◽  
Nick Dobrilovic ◽  
Joel Korelitz
Keyword(s):  
Exploratory Laparotomy ◽  
Postoperative Recovery ◽  
Cystic Mass ◽  
Mesenteric Cyst ◽  
White Female ◽  
Initial Examination ◽  
Lower Quadrant ◽  
Mesenteric Cysts ◽  
Histopathologic Evaluation ◽  
Lesser Curvature

The case is a 33-year-old white female presenting with a 3-day history of abdominal pain. On initial examination, she was found to have significant right lower quadrant tenderness. Workup included computed tomography, which demonstrated a large cystic mass appearing to be of ovarian origin. The patient required an exploratory laparotomy, at which time she was found to have a large cyst involving the lesser curvature of her stomach. The cyst was successfully resected, and the patient had a rapid postoperative recovery with complete resolution of symptoms. Histopathologic evaluation of the specimen identified a mesenteric cyst. Mesenteric cysts are uncommon; gastric involvement is exceedingly rare. A review of the literature is presented.

scholarly journals Complete Surgical Enucleation of a Giant Chylous Mesenteric Cyst

2020 ◽  
Vol 2020 ◽  
pp. 1-3
Author(s):  
Maria Isaia ◽  
Maria Erodotou ◽  
Georgios Nakos ◽  
Nikolaos Nikolaou
Keyword(s):  
Bowel Resection ◽  
Histopathological Examination ◽  
Incidental Finding ◽  
Abdominal Mass ◽  
Mesenteric Cyst ◽  
Abdominal Tumors ◽  
Mesenteric Cysts ◽  
Laparoscopic Enucleation ◽  
Chylous Mesenteric Cyst ◽  
Palpable Abdominal Mass

Mesenteric cysts are rare benign abdominal tumors, and they can appear anywhere in the mesentery of the gastrointestinal tract, from the duodenum to the rectum. They are generally asymptomatic and may present as an incidental finding. The diagnosis is confirmed by the laparotomy findings and the results of the histopathological examination. Complete surgical (open or laparoscopic) enucleation of the cyst is the treatment of choice. We present a case of a female patient who presented with abdominal pain and a giant palpable abdominal mass. The patient underwent a surgical exploration which showed a giant mesenteric cyst. A complete surgical enucleation of the cyst was successfully performed without the need of bowel resection. The histopathological examination of the cyst was compatible with the diagnosis of chylous mesenteric cyst.

scholarly journals DSNet: an efficient CNN for road scene segmentation

2020 ◽  
Vol 9 ◽  
Author(s):  
Ping-Rong Chen ◽  
Hsueh-Ming Hang ◽  
Sheng-Wei Chan ◽  
Jing-Jhih Lin
Keyword(s):  
Real Time ◽  
Network Architecture ◽  
Autonomous Driving ◽  
High Accuracy ◽  
Neural Net ◽  
Scene Segmentation ◽  
Convolutional Network ◽  
Advantages And Disadvantages ◽  
Segmentation Accuracy ◽  
Very High

Road scene understanding is a critical component in an autonomous driving system. Although the deep learning-based road scene segmentation can achieve very high accuracy, its complexity is also very high for developing real-time applications. It is challenging to design a neural net with high accuracy and low computational complexity. To address this issue, we investigate the advantages and disadvantages of several popular convolutional neural network (CNN) architectures in terms of speed, storage, and segmentation accuracy. We start from the fully convolutional network with VGG, and then we study ResNet and DenseNet. Through detailed experiments, we pick up the favorable components from the existing architectures and at the end, we construct a light-weight network architecture based on the DenseNet. Our proposed network, called DSNet, demonstrates a real-time testing (inferencing) ability (on the popular GPU platform) and it maintains an accuracy comparable with most previous systems. We test our system on several datasets including the challenging Cityscapes dataset (resolution of 1024 × 512) with an Mean Intersection over Union (mIoU) of about 69.1% and runtime of 0.0147 s/image on a single GTX 1080Ti. We also design a more accurate model but at the price of a slower speed, which has an mIoU of about 72.6% on the CamVid dataset.

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