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ISSN 2063-5346
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BIOCHEMISTRY OF FASTING – A REVIEW ON METABOLIC SWITCH AND AUTOPHAGY.
Volume - 13 | Issue-1
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ONE-POT ENVIRONMENT FRIENDLY SYNTHESIS OF IMINE DERIVATIVE OF FURFURAL AND ASSESSMENT OF ITS ANTIOXIDANT AND ANTIBACTERIAL POTENTIAL
Volume - 13 | Issue-1
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MODELING AND ANALYSIS OF MEDIA INFLUENCE OF INFORMATION DIFFUSION ON THE SPREAD OF CORONA VIRUS PANDEMIC DISEASE (COVID-19)
Volume - 13 | Issue-1
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INCIDENCE OF HISTOPATHOLOGICAL FINDINGS IN APPENDECTOMY SPECIMENS IN A TERTIARY CARE HOSPITAL IN TWO-YEAR TIME
Volume - 13 | Issue-1
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SEVERITY OF URINARY TRACT INFECTION SYMPTOMS AND THE ANTIBIOTIC RESISTANCE IN A TERTIARY CARE CENTRE IN PAKISTAN
Volume - 13 | Issue-1
ANOMALY SEGMENTATION IN COVID-19 CT SCAN IMAGES USING LIGHTWEIGHT CNN
Main Article Content
Abstract
Chest Computed Tomography (CT) imaging has become an indispensable tool for staging and managing COVID-19. The current evaluation of COVID-19-associated anomalies relies mainly on visual scoring, a subjective and time-consuming process for clinicians. Therefore, there is a critical need for automated methods to quantify CT imaging anomalies for COVID-19, providing vital assistance to healthcare professionals.
Article Details
