[HTML][HTML] Analysis of dermoscopy images by using ABCD rule for early detection of skin cancer

EM Senan, ME Jadhav - Global Transitions Proceedings, 2021 - Elsevier
Melanoma is the most deadly type of skin cancer in humans. Which occurs as a result of a
change in the pigment of the skin, which is known as pigment cells. Which produces a …

Dual-scale similarity-guided cycle generative adversarial network for unsupervised low-dose CT denoising

F Zhao, M Liu, Z Gao, X Jiang, R Wang… - Computers in Biology and …, 2023 - Elsevier
Removing the noise in low-dose CT (LDCT) is crucial to improving the diagnostic quality.
Previously, many supervised or unsupervised deep learning-based LDCT denoising …

[PDF][PDF] 基于特征融合的非局部均值CT 图像降噪

龙超, 金恒, 黎玲, 盛晋银, 段黎明 - 光学学报, 2022 - researching.cn
摘要针对现有非局部均值算法降噪后的计算机断层扫描(CT) 图像仍存在边缘模糊,
细小特征信息消失等问题, 提出一种特征融合的自适应非局部均值降噪方法 …

Application of different techniques for underwater image processing-a systematic review

R Prasath, T Kumanan - IOP conference series: materials …, 2020 - iopscience.iop.org
The area of underwater image processing has gained huge attention among the
researchers because of its wide application. Image processing is the approach of …

[HTML][HTML] Nodule segmentation of lung CT image for medical applications

S Rakesh, S Mahesh - Global Transitions Proceedings, 2021 - Elsevier
Lung cancer increases number of deaths worldwide. This motivates the detection of Cancer
in the early stages. In order to detect cancer in the various stages segmentation of initial lung …

RETRACTED ARTICLE: PALM-CSS: a high accuracy and intelligent machine learning based cooperative spectrum sensing methodology in cognitive health care …

M Varun, C Annadurai - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Spectrum sensing is the most crucial importance in cognitive radios. We propose a novel
machine-learning algorithm for spectrum sensing in cognitive radio networks, which plays …

Lesion-inspired denoising network: Connecting medical image denoising and lesion detection

K Chen, K Long, Y Ren, J Sun, X Pu - Proceedings of the 29th ACM …, 2021 - dl.acm.org
Deep learning has achieved notable performance in the denoising task of low-quality
medical images and the detection task of lesions, respectively. However, existing low-quality …

Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach

A Naseer, HA Alzahrani, NA Almujally… - IEEE …, 2024 - ieeexplore.ieee.org
Machines need to be able to recognize and understand complex visual surroundings to
function at their best in a variety of contexts. Here, we address the difficult problem of multi …

[HTML][HTML] Evaluation of the potentials and challenges of land observation satellites

EA Alshari, BW Gawali - Global Transitions Proceedings, 2021 - Elsevier
This study aims to provide a comprehensive review of the potentials and challenges of land
observation satellites. This article has an inventory of satellite launches from the beginning …

[PDF][PDF] FIFO in green supply chain inventory model of electrical components industry with distribution centres using particle swarm optimization

AS Yadav, KK Bansal, SA Shivani… - Adv Math Sci J, 2020 - research-publication.com
FIFO, which stands for first in first out, is a method of inventory valuation that assumes that
the last items placed in inventory were sold for the first time during the accounting year. This …