[HTML][HTML] Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

V Sharma, SK Gupta, KK Shukla - Intelligent Medicine, 2024 - Elsevier
Objective Tuberculosis (TB) is among the most frequent causes of infectious-disease-related
mortality. Despite being treatable by antibiotics, tuberculosis often goes misdiagnosed and …

Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach

A Tiwari, S Tripathi, DC Pandey… - … and Health Care, 2022 - content.iospress.com
BACKGROUND: The infection caused by the SARS-CoV-2 (COVID-19) pandemic is a threat
to human lives. An early and accurate diagnosis is necessary for treatment. OBJECTIVE …

Deep learning and transfer learning based brain tumor segmentation

AG Eker, MK Pehlivanoğlu, İ İnce… - 2023 8th International …, 2023 - ieeexplore.ieee.org
In brain tumors, which are formed by the abnormal growth of cells in brain tissue, early
diagnosis, and accurate treatment are crucial. Brain tumor segmentation provides experts …

Statistical analysis of positional variations of NavIc receiver

R Gusain, A Vidyarthi, R Prakash… - … on advances in …, 2022 - ieeexplore.ieee.org
With the Precise Point Positioning (PPP) technique, we can accurately determine the
location of any user or navigational satellite system receiver within a range of a few …

Role of Remote Sensing and GIS Strategies to Increase Crop Yield

S Shekhar, R Gusain, A Vidhyarthi… - … on Advances in …, 2022 - ieeexplore.ieee.org
Food is the most important and basic requirement for the life of human beings on the planet
earth. The quality and the quantity of food from agricultural land is one of the significant parts …

Analysis of NavIC Signal for Loss of Lock Events at L5/S-Band Frequencies

R Gusain, A Vidyarthi, R Prakash… - 2022 IEEE India …, 2022 - ieeexplore.ieee.org
Precise Point Positioning (PPP) is a system of acquiring the precise position of a user or
GNSS (Global Navigation Satellite System) receiver without any errors. PPP is required in …

Classification of Cervical Cancer Using an Autoencoder and Cascaded Multilayer Perceptron

KR Akhila, N Muthukumaran, A Ahilan - IETE Journal of Research, 2024 - Taylor & Francis
Cervical cancer is the most frequent and potent form of cancer in women. The complications
caused by it can be avoided if it is detected and treated promptly. In oncology, artificial …

Discriminative learning based dual channel denoising network for removal of noise from MR images

S Tripathi, DC Pandey - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
The presented manuscript proposes a dual path denoising network for removal of Rician
noise from Magnetic Resonance Images (MRI). Noise is an undesired property which gets …

Automatic detection of COVID-19 and viral pneumonia in X-ray images using deep learning approach

S Tripathi, N Sharma - Biomedical Engineering: Applications, Basis …, 2023 - World Scientific
The early detection and treatment of COVID-19 infection are necessary to save human life.
The study aims to propose a time-efficient and accurate method to classify lung infected …

MAGNETIC RESONANCE IMAGE DENOIZING USING A DUAL-CHANNEL DISCRIMINATIVE DENOIZING NETWORK

S Tripathi - Biomedical Engineering: Applications, Basis and …, 2024 - World Scientific
Magnetic Resonance Imaging (MRI) provides detailed information about soft tissues, which
is essential for disease analysis. However, the presence of Rician noise in MR images …