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Classification of breast cancer with deep learning from noisy images using wavelet transform
In this study, breast cancer classification as benign or malignant was made using images
obtained by histopathological procedures, one of the medical imaging techniques. First of …
obtained by histopathological procedures, one of the medical imaging techniques. First of …
Mammogram classification using back-propagation neural networks and texture feature descriptors
Breast cancer has an important incidence in women worldwide. Early diagnosis of this
illness plays a key role in decreasing its mortality and improves its prognosis. Currently …
illness plays a key role in decreasing its mortality and improves its prognosis. Currently …
Performance of data enhancements and training optimization for neural network: A polyp detection case study
FL Henriksen, R Jensen, HK Stensland… - 2019 IEEE 32nd …, 2019 - ieeexplore.ieee.org
Deep learning using neural networks is becoming more and more popular. It is frequently
used in areas like video analysis, image retrieval, traffic forecast and speech recognition. In …
used in areas like video analysis, image retrieval, traffic forecast and speech recognition. In …
Polyp detection using neural networks-data enhancement and training optimization
FL Henriksen - 2017 - duo.uio.no
Colorectal cancer is the third most common type of cancer diagnosed for men and the
second most for women. Today's main methods of examination are expensive, time …
second most for women. Today's main methods of examination are expensive, time …
Polyp Detection using Neural Networks-Data Enhancement and Training Optimization
R Jensen - 2017 - duo.uio.no
Colorectal cancer is the third most common type of cancer diagnosed for men and the
second most for women. Today's main methods of examination are expensive, time …
second most for women. Today's main methods of examination are expensive, time …
[SITAT][C] Polyp Detection using Neural Networks
FL Henriksen, R Jensen