[PDF][PDF] Artificial Intelligence and Neutrosophic Machine learning in the Diagnosis and Detection of COVID 19

M Alshikho, M Jdid, S Broumi - Journal Prospects for Applied …, 2023 - researchgate.net
The world has always suffered and from diseases and epidemics, and the coronavirus is
one of the most dangerous viruses that threatened human life that requires the use of all …

A systematic video indexing approach using decision tree

M Madheswaran, AM Murugaiyan - … of Advances in Signal and Image …, 2022 - xlescience.org
A systematic categorization approach for video indexing is presented in this paper. The
amount of multimedia information that can be accessed over the internet continues to …

Histogram features extraction for edge detection approach

FH Najjar, KT Khudhair, AHA Khaleq… - … Technology and its …, 2022 - ieeexplore.ieee.org
An edge is where an image's intensity values rapidly change from low to high-intensity
values or vice versa. The edge itself is at the midpoint of this change. Edge detection …

[PDF][PDF] User identification system for inked fingerprint pattern based on central moments

EJ Baker, SA Alazawi, NT Ahmed, MA Ismail… - Indonesian Journal of …, 2021 - academia.edu
The use of the fingerprint recognition has been and remains very important in many security
applications and licensing systems. Fingerprint recognition is required in many areas such …

Deep choroid layer segmentation using hybrid features extraction from OCT images

S Masood, SG Ali, X Wang, A Masood, P Li, H Li… - The Visual …, 2024 - Springer
The choroid layer, situated between the retina and sclera, is a tissue layer that contains
blood vessels. Optical coherence tomography (OCT) is a method that utilizes light for …

Human hand gesture identification framework using SIFT and knowledge‐level technique

M Haroon, S Altaf, Z Rehman, MW Soomro… - ETRI …, 2023 - Wiley Online Library
In this study, the impact of varying lighting conditions on recognition and decision‐making
was considered. The luminosity approach was presented to increase gesture recognition …

Machine Learning Detects a Biopsy Needle in Ultrasound Images

AM Wijata, J Nalepa - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Localization of a biopsy needle in ultrasound (US) images is an important medical image
analysis task, as it may help clinicians reduce the risk of damaging the tissue surrounding …

Ultra-attention: automatic recognition of liver ultrasound standard sections based on visual attention perception structures

J Zhang, Y Chen, P Zeng, Y Liu, Y Diao, P Liu - Ultrasound in Medicine & …, 2023 - Elsevier
Acquisition of a standard section is a prerequisite for ultrasound diagnosis. For a long time,
there has been a lack of clear definitions of standard liver views because of physician …

[PDF][PDF] Feature extraction to predict quality of segregating sweet tamarind using image processing

P Tangwannawit, S Tangwannawit - Indonesian Journal of Electrical …, 2022 - academia.edu
In this modern age, several new methods have been developed, especially in image
processing for agriculture business, which consists of technologies derived from artificial …

Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms

AM Wijata, B Pyciński, J Nalepa - Proceedings of the Genetic and …, 2024 - dl.acm.org
Locating the biopsy needle in ultrasound (US) images is a crucial task in medical image
analysis. It aids clinicians in minimizing the risk of damaging surrounding tissue during a US …