An Efficient Denoising of Medical Images Through Convolutional Neural Network

K Soni Sharmila, SP Manikanta… - … on Cognitive Computing …, 2023 - Springer
Denoising medical images is a critical step in enhancing image quality and improving
diagnostic accuracy. In this work, an efficient denoising method has been proposed for …

Brain Tumor Classification Through MR Imaging: A Comparative Analysis

G Prasanna Kumar, K Kiran, K Penmetsa… - … on Cognitive Computing …, 2023 - Springer
Tumor in brain is one of the serious diseases throughout the world and it leads to death
around 300 thousand people in 2020. Hence, Brain tumor diagnosis is a sensible and …

Optimization of Single Image Dehazing Based on Stationary Wavelet Transform

MR Sankar, PR Krishna, A Yamini, C Manikanta… - … on Cognitive Computing …, 2023 - Springer
Dehazing of images holds a crucial significance in the domains of artificial intelligence and
picture dispensation, primarily due to the detrimental impact of haze on visual quality …

A Chest X-Ray Image Based Model for Classification and Detection of Diseases

S Yallapu, AK Madam - … Conference on Cognitive Computing and Cyber …, 2023 - Springer
Radiography holds significant importance in the medical field, allowing for efficient and
widespread access, primarily due to the predominant utilization of thoracic imaging …

A Comprehensive Review on Image Restoration Methods due to Salt and Pepper Noise

GP Kumar, JV Arputharaj, PR Kumar… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Digital images are well-use in various fields like satellite communication, mobile
communication, medical and security. Visualized information helps the people to understand …

Advancing Biomedical Imaging Through High-Resolution Image Segmentation and Computational Modelling Using Convolutional Nueral Networks

SVK Sridhara, BE Raju, GS Charitha… - … and Informatics (IC3I …, 2024 - ieeexplore.ieee.org
High resolution image segmentation and computer modelling have greatly aided
advancements in biomedical imaging, especially with the use of Convolutional Neural …

Performance Evaluation of Medical Image Denoising based on Deep Neural Network

KS Sharmila, K Santhosh, AR Shaik… - 2024 International …, 2024 - ieeexplore.ieee.org
Medical image denoising plays a critical role in enhancing the quality and interpretability of
diagnostic images, impacting the accuracy of clinical diagnoses. This study focuses on the …

Enhancing Kidney Stone Diagnosis: A Fusion Approach of FCM and CNN for Precise Detection

KR Chandra, TH Manoj, V Harshitha… - 2024 Third …, 2024 - ieeexplore.ieee.org
Kidney stones, characterized by the accumulation of mineral and organic substances within
the renal system, pose a significant health concern globally. Timely and accurate diagnosis …