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[HTML][HTML] A survey of malware detection using deep learning
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 …
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
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 …
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 …
biomedical informatics in the health care sector in recent years. This is because it is the …
Near-regular texture analysis and manipulation
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 …
tiling. Although near-regular textures are ubiquitous in the man-made and natural world …
The promise and perils of near-regular texture
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 …
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 …
textures containing simultaneously both regular periodic and stochastic components. Such …
Multi-scale characterizations of colon polyps via computed tomographic colonography
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 …
aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has …
Quantitative evaluation of near regular texture synthesis algorithms
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 …
and local randomness pose new difficulties to the state of the art texture analysis and …
A survey of exemplar-based texture synthesis methods
Texture synthesis has become an important topic in image processing, with many
fundamental applications in computer vision and image understanding. The purpose of this …
fundamental applications in computer vision and image understanding. The purpose of this …
PCTO-SIM: Multiple-point geostatistical modeling using parallel conditional texture optimization
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 …
GPU.•It has the fastest exhaustive search in the training database in MPS methods.•Our …