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Results for “"Farhanaz Farheen"”

4 results

An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations

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Md. Salman Shamil, Farhanaz Farheen, Nabil Ibtehaz, Irtesam Mahmud Khan et al.

Journal: Cognitive ComputationYear: 2021Citations: 95

The coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic worldwide. Countries have adopted non-pharmaceutical interventions (NPI) to slow down the spread. This study proposes an agent-based model that simulates the spread of COVID-19 among the inhabitants of a city. The agent-base...

Physical SciencesMathematicsModeling and SimulationOpen Access
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Revisiting segmentation of lung tumors from CT images

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Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman

Journal: Computers in Biology and MedicineYear: 2022Citations: 26

Lung cancer is a leading cause of death throughout the world. Because the prompt diagnosis of tumors allows oncologists to discern their nature, type, and mode of treatment, tumor detection and segmentation from CT scan images is a crucial field of study. This paper investigates lung tumor segmentat...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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An Agent-Based Model for COVID-19 in Bangladesh

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Farhanaz Farheen, Md. Salman Shamil, Sheikh Saifur Rahman Jony, Zafar Ahmad et al.

Journal: medRxivYear: 2022Citations: 1

Abstract Background The COVID-19 pandemic, that has resulted in millions of deaths and hundreds of millions of cases worldwide, continues to affect the lives, health and economy of various countries including Bangladesh. Despite the high proportion of asymptomatic cases and relatively low mortality,...

Physical SciencesMathematicsModeling and SimulationOpen Access
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Segmentation of Lung Tumor from CT Images using Deep Supervision

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Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman

Journal: arXiv (Cornell University)Year: 2021

Lung cancer is a leading cause of death in most countries of the world. Since prompt diagnosis of tumors can allow oncologists to discern their nature, type and the mode of treatment, tumor detection and segmentation from CT Scan images is a crucial field of study worldwide. This paper approaches lu...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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