129 citations · 140 across the 10 of their papers we have counts for
10 papers
ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis +8
This research proposes "ForCM", a novel approach to forest cover mapping that combines Object-Based Image Analysis (OBIA) with Deep Learning (DL) using multispectral Sentinel-2 ima…
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +6
Lung cancer is the leading cause of cancer death and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer…
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips
Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +2
The ever-growing volume of satellite imagery data presents a challenge for industry and governments making data-driven decisions based on the timely analysis of very large data set…
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
Michael Horry, Subrata Chakraborty, Biswajeet Pradhan +5
Lung cancer is the leading cause of cancer death worldwide and a good prognosis depends on early diagnosis. Unfortunately, screening programs for the early diagnosis of lung cancer…
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan +3
The COVID-19 pandemic has inspired unprecedented data collection and computer vision modelling efforts worldwide, focusing on diagnosis and stratification of COVID-19 from medical…
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…
Computer Vision For COVID-19 Control: A Survey
Anwaar Ulhaq, Asim Khan, Douglas Gomes +1
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intell…
A Practical Blockchain Framework using Image Hashing for Image Authentication
Cameron White, Manoranjan Paul, Subrata Chakraborty
Blockchain is a relatively new technology that can be seen as a decentralised database. Blockchain systems heavily rely on cryptographic hash functions to store their data, which m…