Noninvasive Non-Contact SpO Monitoring Using an Integrated Polarization-Sensing CMOS Imaging Sensor.

Background: In the diagnosis and primary health care of an individual, estimation of the pulse rate and blood oxygen saturation (SpO2) is critical. The pulse rate and SpO2 are determined by methods including photoplethysmography (iPPG), light spectroscopy, and pulse oximetry. These devices need to be compact, non-contact, and noninvasive for real-time health monitoring.

Sigmoid Sinus Thrombosis with Cerebellar Tuberculous Abscess: A Rare Case of Chronic Headache with Vision Loss.

Cerebral venous sinus thrombosis (CVST) is a rare form of brain stroke which is often misdiagnosed. We present a case of CVST due to cerebellar tuberculous abscess. A 41-year female patient was admitted with chronic occipital headache, diminished vision, and fever.

Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.

Objective: Segmentation of anatomical structures in ultrasound images requires vast radiological knowledge and experience. Moreover, the manual segmentation often results in subjective variations, therefore, an automatic segmentation is desirable. We aim to develop a fully convolutional neural network (FCNN) with attentional deep supervision for the automatic and accurate segmentation of the ultrasound images.

Edge Probability and Pixel Relativity-Based Speckle Reducing Anisotropic Diffusion.

Anisotropic diffusion filters are one of the best choices for speckle reduction in the ultrasound images. These filters control the diffusion flux flow using local image statistics and provide the desired speckle suppression. However, inefficient use of edge characteristics results in either oversmooth image or an image containing misinterpreted spurious edges.