[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …
number of omics data that seek to portray many different but complementary biological …
[HTML][HTML] Machine learning and integrative analysis of biomedical big data
Recent developments in high-throughput technologies have accelerated the accumulation
of massive amounts of omics data from multiple sources: genome, epigenome …
of massive amounts of omics data from multiple sources: genome, epigenome …
Deep CNN for brain tumor classification
Brain tumor represents one of the most fatal cancers around the world. It is common cancer
in adults and children. It has the lowest survival rate and various types depending on their …
in adults and children. It has the lowest survival rate and various types depending on their …
[HTML][HTML] A deep analysis of brain tumor detection from mr images using deep learning networks
Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
Cnn based multiclass brain tumor detection using medical imaging
Brain tumors are the 10th leading reason for the death which is common among the adults
and children. On the basis of texture, region, and shape there exists various types of tumor …
and children. On the basis of texture, region, and shape there exists various types of tumor …
Brain tumor type classification via capsule networks
P Afshar, A Mohammadi… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
Brain tumor is considered as one of the deadliest and most common form of cancer both in
children and in adults. Consequently, determining the correct type of brain tumor in early …
children and in adults. Consequently, determining the correct type of brain tumor in early …
A review on machine learning principles for multi-view biological data integration
Driven by high-throughput sequencing techniques, modern genomic and clinical studies are
in a strong need of integrative machine learning models for better use of vast volumes of …
in a strong need of integrative machine learning models for better use of vast volumes of …
A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data
Breast cancer is a highly aggressive type of cancer with very low median survival. Accurate
prognosis prediction of breast cancer can spare a significant number of patients from …
prognosis prediction of breast cancer can spare a significant number of patients from …
Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome
Background and objective Breast cancer is a leading cause of death from cancer for
females. The high mortality rate of breast cancer is largely due to the complexity among …
females. The high mortality rate of breast cancer is largely due to the complexity among …
[HTML][HTML] TumorDetNet: A unified deep learning model for brain tumor detection and classification
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment
process and helps to save the lives of a large number of people worldwide. Because they …
process and helps to save the lives of a large number of people worldwide. Because they …