1 code implementation • 9 Oct 2022 • Samra Irshad, Douglas P. S. Gomes, Seong Tae Kim
To address the problem of abdominal multi-organ segmentation, we train the 3D encoder-decoder network to simultaneously segment the abdominal organs and their corresponding boundaries in CT scans via multi-task learning.
1 code implementation • 7 Dec 2021 • Douglas P. S. Gomes, Cagil Ozansoy
The current research field dedicated to studying these faults is extensive but suffers from a constraining bottleneck of a lack of real experimental data.
no code implementations • 10 Dec 2020 • Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Douglas P. S. Gomes, Anwaar Ul-Haq
Decision trees mined using this method may be considered as a starting point for refinement into clinically useful multi-variate lung cancer malignancy models for implementation as a workflow augmentation tool to improve the efficiency of human radiologists.
1 code implementation • 30 Nov 2020 • Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq, Manoranjan Paul, Subrata Chakraborty, Manash Saha, Tanmoy Debnath, D. M. Motiur Rahaman
As the primary contribution, this method correlates well to patient severity in different stages of disease progression with competitive results compared to other existing, more complex methods.
no code implementations • 26 Sep 2020 • Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manas Saha, Tanmoy Debnath, D. M. Motiur Rahaman
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19.