COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Bioinformatics
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Deep reinforced learning
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Medical image analysis
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Airplanes
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Detailed explanation-1: -Especially, One of the CNN architecture which is developed for estimating the tumours in medical images is the U-Net. It was developed for the segmentation process in the biomedical images along with computer vision techniques.
Detailed explanation-2: -CNN on medical image classification The CNN-based deep neural system is widely used in the medical classification task. CNN is an excellent feature extractor, therefore utilizing it to classify medical images can avoid complicated and expensive feature engineering.
Detailed explanation-3: -CNNs may help to enable highly representative, data-driven, layered hierarchical image features to be learned from sufficient training data. CNNs can help enable highly representative, data-driven, layered hierarchical image features to be learned with sufficient training data.
Detailed explanation-4: -Convolutional neural networks (CNNs) are effective tools for image understanding. They have outperformed human experts in many image understanding tasks. This article aims to provide a comprehensive survey of applications of CNNs in medical image understanding.