Pancreatic Cancer Survival Prediction: A Survey of the State‐of‐the‐Art

W Bakasa, S Viriri - Computational and Mathematical Methods …, 2021 - Wiley Online Library
Cancer early detection increases the chances of survival. Some cancer types, like
pancreatic cancer, are challenging to diagnose or detect early, and the stages have a fast …

AI-based pipeline for classifying pediatric medulloblastoma using histopathological and textural images

O Attallah, S Zaghlool - Life, 2022 - mdpi.com
Pediatric medulloblastomas (MBs) are the most common type of malignant brain tumors in
children. They are among the most aggressive types of tumors due to their potential for …

CoMB-deep: composite deep learning-based pipeline for classifying childhood medulloblastoma and its classes

O Attallah - Frontiers in neuroinformatics, 2021 - frontiersin.org
Childhood medulloblastoma (MB) is a threatening malignant tumor affecting children all over
the globe. It is believed to be the foremost common pediatric brain tumor causing death …

Steganogram removal using multidirectional diffusion in fourier domain while preserving perceptual image quality

S Geetha, S Subburam, S Selvakumar, S Kadry… - Pattern Recognition …, 2021 - Elsevier
This paper proposes a novel and efficient method for destructing any secret information
hidden (steganograms) inside an image by any steganographic technique while preserving …

A steganalysis classification algorithm based on distinctive texture features

BT Hammad, IT Ahmed, N Jamil - Symmetry, 2022 - mdpi.com
Steganography is the technique for secretly hiding messages in media such as text, audio,
image, and video without being discovered. Image is one of the most essential media for …

MixNet: A robust mixture of convolutional neural networks as feature extractors to detect stego images created by content-adaptive steganography

E Amrutha, S Arivazhagan… - Neural Processing …, 2022 - Springer
Digital steganography, the modern version of the ancient art of data hiding is a prevalent tool
for covert communication. Steganalysis, at least as old as steganography comes handy to …

An efficient data hiding technique in image using binary Hamming code along with particle swarm optimisation

P Malathi, TG Kumar - International Journal of Intelligent …, 2021 - inderscienceonline.com
An effective spatial domain steganographic scheme is proposed in this paper. Particle
swarm optimisation (PSO) can be used to identify the most efficient pixel position in the …

[PDF][PDF] Security test using StegoExpose on hybrid deep learning model for reversible image steganography

A Oludele, I Sunday, K Afolashade… - … , Ilishan-Remo, Ogun …, 2022 - researchgate.net
Image steganography is an act of concealing secret information using the image as a cover
medium. It is said to be reversible when the same level of importance placed on the retrieval …

Classification of EEG Signal by Training Neural Network with Swarm Optimization for Identification of Epilepsy

I Tahir, U Qamar, H Abbas, B Zeb, S Abid - Proceedings of the 2019 11th …, 2019 - dl.acm.org
EEG signal classification is a pivotal task for identification of different brain related disorders.
The paper is about classification of EEG signal presenting a novel approach for the …

Texture-based multiresolution steganalytic features for spatial image steganography

TS Jyothy, G Sreelatha, R Pradeep… - … Conference on Smart …, 2019 - ieeexplore.ieee.org
Steganography is a technique of hiding information in digital media whereas steganalysis is
the detection and recovery of such hidden information. This paper focuses on extracting …