Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach

P Ghose, M Alavi, M Tabassum, M Ashraf Uddin… - Frontiers in …, 2022 - frontiersin.org
COVID-19 has caused over 528 million infected cases and over 6.25 million deaths since its
outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused …

[HTML][HTML] Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture

P Ghose, MA Uddin, UK Acharjee, S Sharmin - Intelligent systems with …, 2022 - Elsevier
In recent years, coronavirus (Covid-19) has evolved into one of the world's leading life-
threatening severe viral illnesses. A self-executing accord system might be a better option to …

Grid-search integrated optimized support vector machine model for breast cancer detection

P Ghose, S Sharmin, L Gaur… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Breast cancer is a common and highly heterogeneous cancer worldwide. Rapid detection
and early diagnosis are essential in its treatment, but it is challenging due to mammogram's …

Revealing AI-Based Ed-Tech Tools Using Big Data

A Raj, V Sharma, S Rani, B Balusamy… - … in Technology and …, 2023 - ieeexplore.ieee.org
Big Data has influenced almost every sector such as banking, agriculture, Healthcare,
Manufacturing and Natural Resources, Government, Communication, Entertainment …

Applications of Artificial Intelligence and Machine Learning in Geospatial Data

N Srivastava, N Saxena - Emerging Trends, Techniques, and …, 2023 - igi-global.com
With rapid development in new technologies our intelligence and expertise in artificial
intelligence (AI) have increased significantly. Intelligent machines are preferred, which …

A breast cancer detection model using a tuned svm classifier

P Ghose, MA Uddin, MM Islam, M Islam… - … on Computer and …, 2022 - ieeexplore.ieee.org
Breast cancer has become a common disease that affects women all over the world. Early
detection and diagnosis of the breast cancer is crucial for an effective medication and …

DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images

MVL Costa, EJ de Aguiar, LS Rodrigues… - … Information Science and …, 2024 - Springer
Purpose Deep learning-based radiomics techniques have the potential to aid specialists
and physicians in performing decision-making in COVID-19 scenarios. Specifically, a Deep …

An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from Dermatographic Image

P Ghose, SA Joni, R Rahat, N Tasnin… - … Conference on Trends in …, 2023 - Springer
The recent outbreak of monkeypox spread over seventy-six countries, seventy of them not
having any prior history of monkeypox cases, because of its complex transmission patterns …

[PDF][PDF] Intelligent Systems with Applications

P Ghose, MA Uddin, UK Acharjee, S Sharmin - researchgate.net
In recent years, coronavirus (Covid-19) has evolved into one of the world's leading life-
threatening severe viral illnesses. A self-executing accord system might be a better option to …