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 …
diagnostic accuracy. In this work, an efficient denoising method has been proposed for …
Enhanced image steganalysis through reinforcement learning and generative adversarial networks
SAR Al-Obaidi, MZ Lighvan… - Intelligent Decision …, 2024 - journals.sagepub.com
With the surging prominence of digital communication platforms, there has been an
intensified emphasis on ensuring robust security and privacy measures. Against this …
intensified emphasis on ensuring robust security and privacy measures. Against this …
Image steganalysis using reinforcement learning-based active learning and scope loss function
SAR Al-obaidi, MZ Lighvan… - Intelligent Decision …, 2025 - journals.sagepub.com
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steganalysis, which involves detecting concealed data within image files, is crucial for …
steganalysis, which involves detecting concealed data within image files, is crucial for …
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 …
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 …
widespread access, primarily due to the predominant utilization of thoracic imaging …
AlexNet for Lung Cancer Detection: Leveraging Deep Learning for Diagnosis
PM Simgamsetti, T Tirupal - 2024 Second International …, 2024 - ieeexplore.ieee.org
In the field of medical diagnosis, the early detection of the cancer cells in the Lung is crucial
challenge. The lung cancer is considered as the leading cancer in the worldwide for the …
challenge. The lung cancer is considered as the leading cancer in the worldwide for the …