[HTML][HTML] Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation

AA Munia, M Abdar, M Hasan, MS Jalali, B Banerjee… - Information …, 2025 - Elsevier
Small inaccuracies in the system components or artificial intelligence (AI) models for medical
imaging could have significant consequences leading to life hazards. To mitigate those …

Lightweight deep learning model for detection of copy-move image forgery with post-processed attacks

MN Abbas, MS Ansari, MN Asghar… - 2021 IEEE 19th …, 2021 - ieeexplore.ieee.org
As digital image forgery can be alarmingly detrimental, therefore, an insight into detection
and classification of tampered digital images is of paramount importance. Without …

[PDF][PDF] Transfer learning approach for splicing and copy-move image tampering detection.

NK Hebbar, AS Kunte - ICTACT Journal on Image & Video …, 2021 - ictactjournals.in
Image authentication before using in any security critical applications has become
necessary as the image editing tools are increasing and are handy to use in today's world …

The effect of error level analysis on the image forgery detection using deep learning

WP Sari, H Fahmi - Kinetik: Game Technology, Information System …, 2021 - kinetik.umm.ac.id
Digital image modification or image forgery is easy to do today. The authenticity verification
of an image become important to protect the image integrity so that the image is not being …

A novel deep learning architecture with multi-scale guided learning for image splicing localization

Z Li, Q You, J Sun - Electronics, 2022 - mdpi.com
The goal of image splicing localization is to detect the tampered area in an input image.
Deep learning models have shown good performance in such a task, but are generally …

Image forgery detection based on fusion of lightweight deep learning models

A Doegar, S Hiriyannaiah, SG Matt… - Turkish Journal of …, 2021 - journals.tubitak.gov.tr
Image forgery detection is one of the key challenges in various real time applications, social
media and online information platforms. The conventional methods of detection based on …

[PDF][PDF] Data-Driven Digital Integrity Verification

D Cozzolino, G Poggi, L Verdoliva - Multimedia Forensics, 2022 - library.oapen.org
Images and videos are by now a dominant part of the information flowing on the Internet and
the preferred communication means for younger generations. Besides providing information …

Combining Edge-Guided Attention and Sparse-Connected U-Net for Detection of Image Splicing

L Wan, L Su, H Luo, X Li - International Conference on Artificial Neural …, 2023 - Springer
The use of image-splicing technologies had detrimental effects on the security of multimedia
information. Hence, it is necessary to develop effective methods for detecting and locating …

A review on deep learning techniques for image forgery detection

A Pandey, P Parwekar… - … , and Intelligent Systems …, 2022 - ieeexplore.ieee.org
The images are very popular medium now days for communication either in social media or
by e-communication. It is very important that image circulated for communication must be …

Hybrid machine learning techniques for image forensics

M Eliazer, R Vishal, A Advaith - AIP Conference Proceedings, 2024 - pubs.aip.org
In these days image authentication has become an essential tool as image enhancing
software are becoming prevalent and established in today's world. As such, images can …