Segmentation of lungs from chest X-ray images based on Deep Atrous Attention UNet (DAA-UNet) model.

Medical image segmentation is a critical aspect of medical image analysis, particularly in the realm of medical image processing. While the UNet architecture is widely acknowledged for its effectiveness in medical image segmentation, it falls short in fully harnessing inherent advantages and utilising contextual data efficiently. In response, this research introduces an architecture named Deep Atrous Attention UNet (DAA-UNet), incorporating the attention module and Atrous Spatial Pyramid Pooling (ASPP) module in UNet.

A Rare Case of Unilateral Progressive Cataract in a Young Patient Receiving Topiramate.

This case report presents an instance of unilateral cataract formation and its rapid progression following topiramate-induced bilateral acute angle closure. An 18-year-old female diagnosed with acute angle closure in both eyes had started treatment on the previous day at another healthcare facility. The patient presented with complaints of pain, sudden diminution of vision, excessive watering, and photophobia (both eyes) and reported the use of topiramate for headache for 10 days.