Von Willebrand’s disease diagnosed after hemorrhage following hysteroscopic myoma resection and endometrial band excision

Von Willebrand factor, the largest human plasma protein, is an adhesive multimeric glycoprotein that mediates platelet adhesion to both the subendothelial matrix and endothelial surfaces and acts as a carrier for coagulation factor VIII in the circulation. Von Willebrand disease (vWD) is the most common inherited bleeding condition that involves extended or excessive bleeding and is caused by the deficiency or defect of vWF. In this case report, we present vWD diagnosed after hemorrhage following hysteroscopic myoma resection and endometrial band excision. The importance of a detailed medical history is emphasized as even health care workers cannot spontaneously give this information. Further tests are recommended in patients who have a history of prolonged bleeding as bleeding time and other routine coagulation tests done preoperatively cannot always make a definite diagnosis

Robust and fully automated segmentation of mandible from CT scans

Mandible bone segmentation from computed tomography (CT) scans is challenging due to mandible's structural irregularities, complex shape patterns, and lack of contrast in joints. Furthermore, connections of teeth to mandible and mandible to remaining parts of the skull make it extremely difficult to identify mandible boundary automatically. This study addresses these challenges by proposing a novel framework where we define the segmentation as two complementary tasks: recognition and delineation. For recognition, we use random forest regression to localize mandible in 3D. For delineation, we propose to use 3D gradient-based fuzzy connectedness (FC) image segmentation algorithm, operating on the recognized mandible sub-volume. Despite heavy CT artifacts and dental fillings, consisting half of the CT image data in our experiments, we have achieved highly accurate detection and delineation results. Specifically, detection accuracy more than 96% (measured by union of intersection (UoI)), the delineation accuracy of 91% (measured by dice similarity coefficient), and less than 1 mm in shape mismatch (Hausdorff Distance) were found.Comment: 4 pages, 5 figures, IEEE International Symposium on Biomedical Imaging (ISBI) 201

Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression

The lack of ability to adapt the motion compensation model to video content is an important limitation of current end-to-end learned video compression models. This paper advances the state-of-the-art by proposing an adaptive motion-compensation model for end-to-end rate-distortion optimized hierarchical bi-directional video compression. In particular, we propose two novelties: i) a multi-scale deformable alignment scheme at the feature level combined with multi-scale conditional coding, ii) motion-content adaptive inference. In addition, we employ a gain unit, which enables a single model to operate at multiple rate-distortion operating points. We also exploit the gain unit to control bit allocation among intra-coded vs. bi-directionally coded frames by fine tuning corresponding models for truly flexible-rate learned video coding. Experimental results demonstrate state-of-the-art rate-distortion performance exceeding those of all prior art in learned video coding.Comment: Accepted for publication in IEEE International Conference on Image Processing (ICIP) 202

Applying virtual reality to teach the software development process to novice software engineers

Software development is a complicated process that requires experienced human resources to produce successful software products. Although this process needs experience from the individuals, it is hard to provide this experience without encountering real incidents during the software development process. To fill this gap, this study proposes a Virtual Reality Based Software Development Framework (VR-SODEF), which provides an interactive virtual reality experience for individuals learning about the tasks of software development starting from requirement analysis through software testing. In the VR-SODEF, the participant takes on the role of a novice software developer being recruited into a virtual software development organisation who should work alongside five virtual characters, played by artificial intelligence. This exclusive viewpoint draws participants from the 2D separation of the classical experience and virtually into the world of the software development itself. Participants experience the intense dramatic elements created for simulation and confront the challenges of virtual software practitioners in a somewhat uncompromising virtual simulation environment. To examine the efficiency of the VR-SODEF, it was tested on 32 computing students, with results indicating that virtual reality can be an effective educational medium, especially for skills that might traditionally be acquired through experience rather than traditional classroom-based teaching

Relational Reasoning Network (RRN) for Anatomical Landmarking

Accurately identifying anatomical landmarks is a crucial step in deformation analysis and surgical planning for craniomaxillofacial (CMF) bones. Available methods require segmentation of the object of interest for precise landmarking. Unlike those, our purpose in this study is to perform anatomical landmarking using the inherent relation of CMF bones without explicitly segmenting them. We propose a new deep network architecture, called relational reasoning network (RRN), to accurately learn the local and the global relations of the landmarks. Specifically, we are interested in learning landmarks in CMF region: mandible, maxilla, and nasal bones. The proposed RRN works in an end-to-end manner, utilizing learned relations of the landmarks based on dense-block units and without the need for segmentation. For a given a few landmarks as input, the proposed system accurately and efficiently localizes the remaining landmarks on the aforementioned bones. For a comprehensive evaluation of RRN, we used cone-beam computed tomography (CBCT) scans of 250 patients. The proposed system identifies the landmark locations very accurately even when there are severe pathologies or deformations in the bones. The proposed RRN has also revealed unique relationships among the landmarks that help us infer several reasoning about informativeness of the landmark points. RRN is invariant to order of landmarks and it allowed us to discover the optimal configurations (number and location) for landmarks to be localized within the object of interest (mandible) or nearby objects (maxilla and nasal). To the best of our knowledge, this is the first of its kind algorithm finding anatomical relations of the objects using deep learning.Comment: 10 pages, 6 Figures, 3 Table

A rare cause of recurrent gastrointestinal bleeding: mesenteric hemangioma

Lower gastrointestinal hemorrhage accounts for approximately 20% of gastrointestinal hemorrhage. The most common causes of lower gastrointestinal hemorrhage in adults are diverticular disease, inflammatory bowel disease, benign anorectal diseases, intestinal neoplasias, coagulopathies and arterio-venous malformations. Hemangiomas of gastrointestinal tract are rare. Mesenteric hemangiomas are also extremely rare

True knot of the umbilical cord in advanced weeks of pregnancy: a case report

True knot of the umbilical cord is a very rare condition. Usually a true knot is noticed after delivery and does not lead to problems. It is relatively less common than the other umbilical cord anomalies. Most authors agree that there is little that can be done to prevent fetal death in undiagnosed true knot. In our case, the patient gave birth to a healthy male baby weighing 2700 grams by normal vaginal delivery after an ultrasound was suggestive of intrauterine growth restriction (IUGR). The baby’s Apgar scores were 8 at one minute and 9 at five minutes. The umbilical cord measured 125 cm and contained two loose true knots. It was surprising that the baby could survive until term with these two knots and we hypothesize that this was the cause of the IUGR. Our case was interesting as neither neurologic sequela nor intrauterine death developed, despite two true umbilical cord knots

True knot of the umbilical cord in advanced weeks of pregnancy: a case report

True knot of the umbilical cord is a very rare condition. Usually a true knot is noticed after delivery and does not lead to problems. It is relatively less common than the other umbilical cord anomalies. Most authors agree that there is little that can be done to prevent fetal death in undiagnosed true knot. In our case, the patient gave birth to a healthy male baby weighing 2700 grams by normal vaginal delivery after an ultrasound was suggestive of intrauterine growth restriction (IUGR). The baby’s Apgar scores were 8 at one minute and 9 at five minutes. The umbilical cord measured 125 cm and contained two loose true knots. It was surprising that the baby could survive until term with these two knots and we hypothesize that this was the cause of the IUGR. Our case was interesting as neither neurologic sequela nor intrauterine death developed, despite two true umbilical cord knots