A systematic review of modern approaches in healthcare systems for lung cancer detection and classification

SK Pandey, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Lung cancer has become a prevalent form of cancer; it can be found in persons of all age
groups. The early stage identification of lung cancer is required to control the integrated …

Development of artificial intelligence model for supporting implant drilling protocol decision making

T Sakai, H Li, T Shimada, S Kita, M Iida… - Journal of …, 2023 - jstage.jst.go.jp
Purpose This study aimed to develop an artificial intelligence (AI) model to support the
determination of an appropriate implant drilling protocol using cone-beam computed …

Detail-preserving image warping by enforcing smooth image sampling

Q Sha, K Sun, C Jiang, M Xu, Z Xue, X Cao, D Shen - Neural Networks, 2024 - Elsevier
Multi-phase dynamic contrast-enhanced magnetic resonance imaging image registration
makes a substantial contribution to medical image analysis. However, existing methods (eg …

Deep polyp image enhancement using region of interest with paired supervision

D Huang, J Liu, Y Shi, C Li, W Tang - Computers in Biology and Medicine, 2023 - Elsevier
Endoscopic medical imaging in complex curved intestinal structures are prone to uneven
illumination, low contrast and lack of texture information. These problems may lead to …

Novel fuzzy type-II driven modified Anisotropic Diffusion filter framework for restoration and enhancement of Rician noise corrupted MR images

K Verma, S Srivastava, RK Mishra - Multimedia Tools and Applications, 2024 - Springer
Brain disorders are impacting billions of individuals worldwide. Magnetic Resonance (MR)
Imaging is the most widely used imaging modality to examine brain abnormalities. However …

Low-grade magnetic resonance image enhancement using adaptive sigmoid transformation function

R Kumar, AK Bhandari - Health and Technology, 2024 - Springer
Purpose Medical images are crucial to monitor a patient's health and provide an accurate
diagnosis. Medical photos typically have various issues, including noise and poor contrast …

Visibility enhancement of brain tumor affected MRI images using adaptive heuristic process

R Kumar, AK Bhandari - Health and Technology, 2024 - Springer
Purpose Magnetic resonance imaging (MRI) is a frequently used system in medical imaging
and disease interpretation. Most of the time, MRIs in humans show detailed tissue …

Analysis of spatio temporal geophysical data using spatial entropy: application to comparison of SST datasets

J Gancio, G Tirabassi, C Masoller… - Earth System Dynamics …, 2024 - esd.copernicus.org
Efficient data analysis techniques are urgently needed due to the large amount of data
continuously generated by Earth modeling and monitoring systems. We show that the spatial …

Group theoretic particle swarm optimization for gray-level medical image enhancement.

J Jiang, J Cai, Q Zhang, K Lan, X Jiang… - … and Engineering: MBE, 2023 - europepmc.org
As a principal category in the promising field of medical image processing, medical image
enhancement has a powerful influence on the intermedia features and final results of the …

[PDF][PDF] Brain MRI/CT Contrast Enhancement using Hybrid Transformation

TK Halder, K Sarkar, A Mandal… - Indian Journal of Science …, 2023 - researchgate.net
Objectives: To develop a better method for enhancing head MRI or CT images with the
objective of suppressing irrelevant information during subsequent processing. Methods: To …