Lesion segmentation of medical images is an important component smart medicine. The development deep learning technology followed by rapid advancement in lesion images. Though the present can retain spatial features, insufficient features are retained with low accuracy. Our proposed PST-UNet model combines transformer U-shaped structure and better infuses encoder's multi-scale using convolution...

Microscopy for medical diagnostics requires expensive equipment as well as highly trained experts to operate and interpret the observed images. We present a new, easy to use, mobile diagnostic system consisting of a direct imaging microlens array and a mobile computing platform for diagnosing parasites in clinical samples. Firstly, the captured microlens images are reconstructed using a light f...

Intelligent computing methods and knowledge based systems are well known techniques used for the detection of various medical disorders. This paper is based on the review of various intelligent computing methods that are used to detect sleep disorders. The main concern is based on the detection of sleep disorders such as sleep apnea, insomnia, parasomnia and snoring. The most common diagnostic ...