A binary neural network is applied to the problem of error correction. The neural network will be implemented to correct both inversion and synchronization errors. Neural networks have been used before to correct inversion and synchronization errors, however, additional redundancy in the form of markers or watermarks were added to aid synchronization recovery. It is shown in this paper that it ...

Puerperal uterine inversion is an uncommon but life threatening obstetrical emergency. A 26-year-old woman, para six, was referred from a peripheral hospital seven days after delivery, with a mass protruding per vaginum. Complete uterine inversion had occurred after delivery of baby and placenta. She was resuscitated and her genital infection was treated. She had a vaginal hysterectomy upon req...

Segmentation is an important step for the diagnosis of multiple sclerosis (MS). This paper presents a new approach to the fully automatic segmentation of MS lesions in Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance (MR) images. With the aim of increasing the contrast of the FLAIR MR images with respect to the MS lesions, the proposed method first estimates the fuzzy memberships ...