A survey on deep learning-based image forgery detection
Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …
and availability of digital devices such as cameras and cell phones, taking images has …
An efficient CNN model to detect copy-move image forgery
Recently, digital images have become used in many applications, where they have become
the focus of digital image processing researchers. Image forgery represents one hot topic on …
the focus of digital image processing researchers. Image forgery represents one hot topic on …
[HTML][HTML] Machine learning based medical image deepfake detection: A comparative study
S Solaiyappan, Y Wen - Machine Learning with Applications, 2022 - Elsevier
Deep generative networks in recent years have reinforced the need for caution while
consuming various modalities of digital information. One avenue of deepfake creation is …
consuming various modalities of digital information. One avenue of deepfake creation is …
The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
ID KB, DRV PM - Computer Science Review, 2025 - Elsevier
The quest to find reliable biomarkers in autism spectrum disorders (ASD) is an ongoing
endeavour to identify both underlying causes and measurable indicators of this …
endeavour to identify both underlying causes and measurable indicators of this …
Enhancing digital image forgery detection using transfer learning
AH Khalil, AZ Ghalwash, HAG Elsayed… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, digital images are a main source of shared information in social media.
Meanwhile, malicious software can forge such images for fake information. So, it's crucial to …
Meanwhile, malicious software can forge such images for fake information. So, it's crucial to …
A new method to detect splicing image forgery using convolutional neural network
Recently, digital images have been considered the primary key for many applications, such
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
MedNet: Medical deepfakes detection using an improved deep learning approach
Recently, the massive development in the field of deep learning (DL) and artificial
intelligence (AI)-aware tools have forced the requirement of caution when using several …
intelligence (AI)-aware tools have forced the requirement of caution when using several …
Fully Automated Skull Stripping from Brain Magnetic Resonance Images Using Mask RCNN-Based Deep Learning Neural Networks
This research comprises experiments with a deep learning framework for fully automating
the skull stripping from brain magnetic resonance (MR) images. Conventional techniques for …
the skull stripping from brain magnetic resonance (MR) images. Conventional techniques for …
A deep neural network with hybrid spotted hyena optimizer and grasshopper optimization algorithm for copy move forgery detection
Protecting data against tampering is a significant concern in modern times. Digital
photographs are essential for displaying information. Digital picture forgeries include adding …
photographs are essential for displaying information. Digital picture forgeries include adding …
Fake region identification in an image using deep learning segmentation model
AK Jaiswal, R Srivastava - Multimedia Tools and Applications, 2023 - Springer
A forged image is a major source of counterfeit news and is mostly used in a spiteful manner
such as exciting targeted mob, identity theft, defaming individual, or misleading law bodies …
such as exciting targeted mob, identity theft, defaming individual, or misleading law bodies …