Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks
G Shamsipour, S Fekri-Ershad, M Sharifi… - Signal, image and video …, 2024 - Springer
Today, with the rapid growth of communication technology and the development of social
networks and smartphones, the amount of data stored by users in the form of images has …
networks and smartphones, the amount of data stored by users in the form of images has …
MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection
Pulmonary nodule false-positive reduction is of great significance for automated nodule
detection in clinical diagnosis of low-dose computed tomography (LDCT) lung cancer …
detection in clinical diagnosis of low-dose computed tomography (LDCT) lung cancer …
Additive deep feature optimization for semantic image retrieval
Rapid increase in the distribution of multimedia content in recent times presents a
challenging problem for content-based image retrieval systems. Image contents, such as …
challenging problem for content-based image retrieval systems. Image contents, such as …
Maximal multi-channel local binary pattern with colour information for CBIR
Abstract Content Based Image Retrieval (CBIR) focuses on retrieving images from
repositories based on visual features extracted from the images. Texture and colour are one …
repositories based on visual features extracted from the images. Texture and colour are one …
A CBIR system based on saliency driven local image features and multi orientation texture features
Abstract In Content-based Image Retrieval (CBIR), the user provides the query image in
which only a selective portion of the image carries the foremost vital information known as …
which only a selective portion of the image carries the foremost vital information known as …
Adversarial image reconstruction learning framework for medical image retrieval
R Pinapatruni, SB Chigarapalle - Signal, Image and Video Processing, 2022 - Springer
Due to the advancement in digital recording techniques, a large amount of data
(images/video) is created in medical centers. Penetrating this indistinguishable data is a …
(images/video) is created in medical centers. Penetrating this indistinguishable data is a …
Multi-level colored directional motif histograms for content-based image retrieval
Color features and local geometrical structures are the two basic image features which are
sufficient to convey the image semantics. Both of these features show diverse nature on the …
sufficient to convey the image semantics. Both of these features show diverse nature on the …
DNA encoding-based nucleotide pattern and deep features for instance and class-based image retrieval
Recently, DNA encoding has shown its potential to store the vital information of the image in
the form of nucleotides, namely, and, with the entire sequence following run-length and GC …
the form of nucleotides, namely, and, with the entire sequence following run-length and GC …
Uncertainty Measure-Based Incremental Feature Selection For Hierarchical Classification
Y Tian, Y She - International Journal of Fuzzy Systems, 2024 - Springer
In the era of big data, there exist complex structure between different classes labels.
Hierarchical structure, among others, has become a representative one, which is …
Hierarchical structure, among others, has become a representative one, which is …
Content-based image retrieval using DNA transcription and translation
DNA carries the genetic information of almost all the living beings on the earth. The flow of
genetic information takes place by a series of transcription and translation reactions in which …
genetic information takes place by a series of transcription and translation reactions in which …