Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images.

Early and fast detection of disease is essential for the fight against COVID-19 pandemic. Researchers have focused on developing robust and cost-effective detection methods using Deep learning based chest X-Ray image processing. However, such prediction models are often not well suited to address the challenge of highly imabalanced datasets.

An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images.

A global pandemic scenario is witnessed worldwide owing to the menace of the rapid outbreak of the deadly COVID-19 virus. To save mankind from this apocalyptic onslaught, it is essential to curb the fast spreading of this dreadful virus. Moreover, the absence of specialized drugs has made the scenario even more badly and thus an early-stage adoption of necessary precautionary measures would provide requisite supportive treatment for its prevention.

Endoscopic Dacryocystorhinostomy: A Study at IPGMER, Kolkata.

Endoscopic sinus surgery has developed a new era in the treatment of chronic dacryocystitis. A prospective study was conducted by taking 67 patients having epiphora. Endo DCR was performed under local anaesthesia.