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About Lung Cancer Detection Using Machine Learning IJERTCONV7IS01011
This document summarizes a research paper on detecting lung cancer using machine learning. The paper proposes using a probabilistic neural network (PNN) which classifies lung tissues into normal, benign and malignant classes based on features extracted from CT images using dual-tree complex wavelet transformation. Previous methods used CNN which required large datasets and training time but provided less accurate results compared to PNN. The proposed method uses PNN for faster and more accurate lung cancer detection from CT images.
Detailed Information
| Author: | ['MasToro Shadiq'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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