A deep learning approach for classification of COVID and pneumonia using DenseNet-201.

In the present paper, our model consists of deep learning approach: DenseNet201 for detection of COVID and Pneumonia using the Chest X-ray Images. The model is a framework consisting of the modeling software which assists in Health Insurance Portability and Accountability Act Compliance which protects and secures the Protected Health Information . The need of the proposed framework in medical facilities shall give the feedback to the radiologist for detecting COVID and pneumonia though the transfer learning methods. A Graphical User Interface tool allows the technician to upload the chest X-ray Image. The software then uploads chest X-ray radiograph (CXR) to the developed detection model for the detection. Once the radiographs are processed, the radiologist shall receive the Classification of the disease which further aids them to verify the similar CXR Images and draw the conclusion. Our model consists of the dataset from Kaggle and if we observe the results, we get an accuracy of 99.1%, sensitivity of 98.5%, and specificity of 98.95%. The proposed Bio-Medical Innovation is a user-ready framework which assists the medical providers in providing the patients with the best-suited medication regimen by looking into the previous CXR Images and confirming the results. There is a motivation to design more such applications for Medical Image Analysis in the future to serve the community and improve the patient care.

Unusual Missed Diagnosis of Foreign Body: A Case Report.

BACKGROUND: Penetrating intraorbital foreign body (IOFB) is usually associated with high-velocity trauma forces around the eye. IOFB injury to globe or optic nerve is considered a surgical emergency; an immediate diagnosis and management plan is generally indicated. METHODS: A case report (design). The patient was a 78-year-old male presented with diminution of vision of the right eye following a high-velocity injury. The patient was noted to have a closed globe injury with associated retinal detachment and vitreous hemorrhage. An initial orbital CT scan did not reveal any IOFB, despite and intact globe. However, repeat a CT head and orbit scan revealed an intracranial magnetic foreign body lodged in the right frontal lobe. CONCLUSION: A CT scan of the brain and paranasal sinuses should be obtained along with a CT orbit in case of high-velocity orbital/ocular trauma.

Central Retinal Artery Occlusion After Nasosinal Surgery - an Insight.

OBJECTIVE: To describe a case of central retinal artery occlusion (CRAO) after nasosinal surgery and subject's subsequent response to hyperbaric oxygen therapy (HBOT). DESIGN: Observational case report. RESULTS: We describe a subject with diagnosed CRAO after septoplasty, bilateral inferior turbinate reduction and balloon sinuplasty, who was given hyperbaric oxygen treatment after four days of onset of CRAO with an improvement in visual acuity and visual field. CONCLUSION: Even though CRAO has been rarely reported after ENT procedures and HBOT has been previously described for the treatment, this is the case report where hyperbaric oxygen was given after four days of onset, with a possible improvement.