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Found 10 papers, 0 papers with code
Modified K-means with Cluster Assignment -- Application to COVID-19 Data
Text extraction is a highly subjective problem which depends on the dataset that one is working on and the kind of summarization details that needs to be extracted out.
Federated learning: Applications, challenges and future directions
Federated learning (FL) is a system in which a central aggregator coordinates the efforts of multiple clients to solve machine learning problems.
Deep Learning for Medical Image Registration: A Comprehensive Review
Finally, a discussion is provided on the promising future research areas in the field of DL-based medical image registration.
Deep learning for identification and face, gender, expression recognition under constraints
The main objective of this work is to test the ability of deep learning based automated computer system to identify not only persons, but also to perform recognition of gender, age, and facial expressions such as eye smile.
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review
The outbreak of novel coronavirus disease (COVID- 19) has claimed millions of lives and has affected all aspects of human life.
Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review
This review attempts to answer this question through evaluating the performance (measured by accuracy, precision and recall) of the KNN using a large number of distance measures, tested on a number of real-world datasets, with and without adding different levels of noise.
Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration
In this paper, we described a set of experiments to evaluate the applicability of Tsallis entropy in the Mutual Information (MIT) and in the Normalized Mutual Information (NMIT) as cost functions for Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and Computed Tomography (CT) exams registration.
Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review
Video capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal (GI) tract.
Adaptive diffusion constrained total variation scheme with application to `cartoon + texture + edge' image decomposition
We consider an image decomposition model involving a variational (minimization) problem and an evolutionary partial differential equation (PDE).
Color image denoising by chromatic edges based vector valued diffusion
In this letter we propose to denoise digital color images via an improved geometric diffusion scheme.
