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ODET: Optimized Deep ELM-based Transfer Learning for Breast Cancer Explainable Detection
Ziquan Zhu,
Shui Hua Wang
*
*
Corresponding author for this work
University of Florida
Henan Polytechnic University
Research output
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Contribution to journal
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peer-review
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Dive into the research topics of 'ODET: Optimized Deep ELM-based Transfer Learning for Breast Cancer Explainable Detection'. Together they form a unique fingerprint.
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Computer Science
Detection
100%
Transfer Learning
100%
Models
66%
Effective Method
33%
Accuracy
33%
Computer Technology
33%
ResNet50
33%
Ultrasound Image
33%
Incidence Rate
33%
Biochemistry, Genetics and Molecular Biology
Accuracy
100%
Transfer of Learning
100%
Experiment
50%
Age
50%
Incidence
50%
Ultrasound
50%
Puberty
50%
Medicine and Dentistry
Breast Cancer
100%
Transfer of Learning
100%
Accuracy
25%
Woman
25%
Cancer Diagnosis
25%
Spine
25%
Incidence
12%
Age
12%
Sensitivity and Specificity
12%
Malignant Neoplasm
12%
Researcher
12%
Nursing and Health Professions
Breast Cancer
100%
Cancer Diagnosis
25%
Procedures
12%
Incidence
12%
Experiment
12%
Parameters
12%
Malignant Neoplasm
12%
Sensitivity and Specificity
12%
Pharmacology, Toxicology and Pharmaceutical Science
Breast Cancer
100%
Incidence
12%
Malignant Neoplasm
12%