Object Detection and Classification Framework for Analysis of Video Data Acquired from Indian Roads.

Object detection and classification in autonomous vehicles are crucial for ensuring safe and efficient navigation through complex environments. This paper addresses the need for robust detection and classification algorithms tailored specifically for Indian roads, which present unique challenges such as diverse traffic patterns, erratic driving behaviors, and varied weather conditions. Despite significant progress in object detection and classification for autonomous vehicles, existing methods often struggle to generalize effectively to the conditions encountered on Indian roads.

Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation.

Intra-retinal cysts (IRCs) are significant in detecting several ocular and retinal pathologies. Segmentation and quantification of IRCs from optical coherence tomography (OCT) scans is a challenging task due to present of speckle noise and scan intensity variations across the vendors. This work proposes a convolutional neural network (CNN) model with an encoder-decoder pair architecture for IRC segmentation across different cross-vendor OCT scans.

Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography Scans.

Development of an automated sub-retinal fluid segmentation technique from optical coherence tomography (OCT) scans is faced with challenges such as noise and motion artifacts present in OCT images, variation in size, shape and location of fluid pockets within the retina. The ability of a fully convolutional neural network to automatically learn significant low level features to differentiate subtle spatial variations makes it suitable for retinal fluid segmentation task. Hence, a fully convolutional neural network has been proposed in this work for the automatic segmentation of sub-retinal fluid in OCT scans of central serous chorioretinopathy (CSC) pathology.

Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.

Optical coherence tomography (OCT) is an imaging modality that is used extensively for ophthalmic diagnosis, near-histological visualization, and quantification of retinal abnormalities such as cysts, exudates, retinal layer disorganization, etc. Intra-retinal cysts (IRCs) occur in several macular disorders such as, diabetic macular edema, retinal vascular disorders, age-related macular degeneration, and inflammatory disorders. Automated segmentation of IRCs poses challenges owing to variations in the acquisition system scan intensities, speckle noise, and imaging artifacts.

Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transform.

Optical Coherence Tomography (OCT) has emerged as a major diagnostic modality for retinal imaging. Although OCT generates gross volumetric data, manual analysis of the images for locating or quantifying retinal cysts is a time consuming process. Recently semi- and fully-automatic methods for locating and segmenting retinal cysts have been proposed in the literature.

Hoffa's fracture with ipsilateral fibular fracture in a 16-year-old girl: An approach to a rare injury.

Hoffa's fracture is an uncommon fracture of the femoral condyle with coronal orientation of the fracture line. The mechanism of injury in pediatric Hoffa's fracture is road traffic accident, sports injury, and trivial injury. Clinical examination and proper imaging is important for diagnosis of pediatric Hoffa's fracture because of high chances of missing these injuries which can lead to nonunion and malunion at the fracture site.

Vaccination Related Pain: Comparison of Two Injection Techniques.

Objective: To compare the acute pain response during immunization in infants using a slow "standard" injection technique vs. "pragmatic" technique.

Methods: In this randomised controlled trial, source of data were 200 healthy infants of age group 6 wk to one and half years, receiving routine intramuscular vaccination.

Immature gastric teratoma in an infant.

Gastric teratomas are very rare tumors accounting for less than 1 % of all teratomas of infants and children. Little more than 100 cases of gastric teratomas are reported in the literature; out of which, very few of them are of immature variety. Complete excision of the gastric teratoma carries a good prognosis.

Analysis of short-term results of monsieur's tunica albuginea urethroplasty as a definitive procedure for pan-anterior urethral stricture.

Context: Long anterior urethral strictures are fairly common in developing world and the treatment is equally challenging.

Aim: To assess the results and efficacy of Monsieur's Tunica Albuginea Urethroplasty (TAU) for anterior urethral stricture.

Settings And Design: We analyzed the results in 10 consecutive patients with pan-anterior urethral stricture, who underwent Monsieur's urethroplasty.

A quantitative comparison between free uroflow variables and urodynamic data, and the effect of the size of urodynamic catheters on its interpretation.

Objective: To assess the effect of the urodynamic catheter on the urinary flow rate and residual volume in various urodynamic diagnoses, and compare the outcome when using a smaller catheter, as the effect of this catheter on free uroflow variables is mostly studied in patients with bladder outlet obstruction (BOO) and little is known about its effect in other urodynamic diagnoses.

Patients And Methods: In all, 319 men undergoing a pressure-flow study (PFS) with a 5 F filling and 5 F measuring bladder catheter were subdivided into three groups based on a urodynamic diagnosis, i.e.

Coinfection with dengue and chikungunya--a case report.

Dengue fever outbreaks are reported from India since last 10 years. Since 2005, chikungunya is also causing massive outbreaks in India and other parts of Asia. Both viruses are transmitted by aedes genus and both viruses can re-emerge in many regions due to climatic changes.