Deep Learning in Dynamic Modeling of Medical Imaging: A Review Study
| Autor: | Vishal Dutt, Sumati Boyapati, Srinivasa Rao Swarna, Karan Bajaj |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Review study
Artificial neural network Computer science business.industry Deep learning education 01 natural sciences Data science 030218 nuclear medicine & medical imaging System dynamics 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Medical imaging Clinical imaging Artificial intelligence 0101 mathematics business |
| Zdroj: | 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS). |
| DOI: | 10.1109/iciss49785.2020.9315990 |
| Popis: | Machine learning has seen an incredible proportion of thought inside the course of the chief ongoing scarcely any years. the present impact initiated about 2009 while guessed ANN began beating other discovered models on different critical benchmarks. DNN are at the present the most edge ML models over an appointment of districts, from picture assessment to normal language taking care of, and comprehensively passed on inside the insightful network and other applications. The progression of machine learning improves the clinical assessment either by data or image assessment, clinical diagnostics, and clinical guide beat all, bit by bit being sorted it out. during this investigation, we center to offer a brief prologue to deep learning within the clinical area and shows how deep learning is being utilized in clinical space. We additionally investigated the thought of deep learning in clinical Imaging and MRI. We likewise examined the reproducible examination in machine learning for clinical imaging and Perspectives and its future expectations. |
| Databáze: | OpenAIRE |
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