Convolutional Neural Network-Based Humerus Segmentation and Application to Bone Mineral Density Estimation from Chest X-ray Images of Critical Infants.

Measuring bone mineral density (BMD) is important for surveying osteopenia in premature infants. However, the clinical availability of dual-energy X-ray absorptiometry (DEXA) for standard BMD measurement is very limited, and it is not a practical technique for critically premature infants. Developing alternative approaches for DEXA might improve clinical care for bone health.

Clinical and pathological correlates of severity classifications in trigger fingers based on computer-aided image analysis.

Background: The treatment of trigger finger so far has heavily relied on clinicians' evaluations for the severity of patients' symptoms and the functionality of affected fingers. However, there is still a lack of pathological evidence supporting the criteria of clinical evaluations. This study's aim was to correlate clinical classification and pathological changes for trigger finger based on the tissue abnormality observed from microscopic images.

Model-based spike detection of epileptic EEG data.

Accurate automatic spike detection is highly beneficial to clinical assessment of epileptic electroencephalogram (EEG) data. In this paper, a new two-stage approach is proposed for epileptic spike detection. First, the k-point nonlinear energy operator (k-NEO) is adopted to detect all possible spike candidates, then a newly proposed spike model with slow wave features is applied to these candidates for spike classification.

Cembranoids from the soft corals Sinularia granosa and Sinularia querciformis.

Two new cembranoids, namely granosolides C (1) and D (2), along with one known cembranoid 4, were isolated from the soft coral Sinularia granosa. Chemical investigation of Sinularia querciformis also afforded one new cembranoid, querciformolide E (3), along with four known cembranoids 4-7. The structures of these compounds were elucidated on the basis of their spectroscopic data.