2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks
Samra Irshad, Douglas P. S. Gomes, Seong Tae Kim
Quantitative assessment of the abdominal region from clinically acquired CT scans requires the simultaneous segmentation of abdominal organs. Thanks to the availability of high-per…
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan +3
Lung cancer is the leading cause of cancer death and morbidity worldwide. Many studies have shown machine learning models to be effective at detecting lung nodules from chest X-ray…
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features
Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5
The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…