[HTML][HTML] A survey of malware detection using deep learning

A Bensaoud, J Kalita, M Bensaoud - Machine Learning With Applications, 2024 - Elsevier
The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …

Conventional machine learning and deep learning approach for multi-classification of breast cancer histopathology images—a comparative insight

S Sharma, R Mehra - Journal of digital imaging, 2020 - Springer
Automatic multi-classification of breast cancer histopathological images has remained one
of the top-priority research areas in the field of biomedical informatics, due to the great …

[HTML][HTML] Improved multi-classification of breast cancer histopathological images using handcrafted features and deep neural network (dense layer)

AA Joseph, M Abdullahi, SB Junaidu… - Intelligent Systems with …, 2022 - Elsevier
Breast cancer (BC) classification has become a point of concern within the field of
biomedical informatics in the health care sector in recent years. This is because it is the …

Near-regular texture analysis and manipulation

Y Liu, WC Lin, J Hays - ACM Transactions on Graphics (ToG), 2004 - dl.acm.org
A near-regular texture deviates geometrically and photometrically from a regular congruent
tiling. Although near-regular textures are ubiquitous in the man-made and natural world …

The promise and perils of near-regular texture

Y Liu, Y Tsin, WC Lin - International Journal of Computer Vision, 2005 - Springer
Motivated by the low structural fidelity for near-regular textures in current texture synthesis
algorithms, we propose and implement an alternative texture synthesis method for near …

Near-regular texture synthesis

M Haindl, M Hatka - International Conference on Computer Analysis of …, 2009 - Springer
This paper describes a method for seamless enlargement or editing of difficult colour
textures containing simultaneously both regular periodic and stochastic components. Such …

Multi-scale characterizations of colon polyps via computed tomographic colonography

W Cao, MJ Pomeroy, Y Gao, MA Barish… - Visual Computing for …, 2019 - Springer
Texture features have played an essential role in the field of medical imaging for computer-
aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has …

Quantitative evaluation of near regular texture synthesis algorithms

WC Lin, J Hays, C Wu, Y Liu… - 2006 IEEE Computer …, 2006 - ieeexplore.ieee.org
Near regular textures are pervasive in man-made and natural world. Their global regularity
and local randomness pose new difficulties to the state of the art texture analysis and …

A survey of exemplar-based texture synthesis methods

A Akl, C Yaacoub, M Donias, JP Da Costa… - Computer Vision and …, 2018 - Elsevier
Texture synthesis has become an important topic in image processing, with many
fundamental applications in computer vision and image understanding. The purpose of this …

PCTO-SIM: Multiple-point geostatistical modeling using parallel conditional texture optimization

M Pourfard, MJ Abdollahifard, K Faez… - Computers & …, 2017 - Elsevier
Highlights•The main core of the algorithm has a totally parallel structure and fully adapted for
GPU.•It has the fastest exhaustive search in the training database in MPS methods.•Our …