Review on carbon storage estimation of forest ecosystem and applications in China
W Sun, X Liu - Forest Ecosystems, 2020 - Springer
Background The accuracy in estimating forest ecosystem carbon storage has drawn
extensive attention of researchers in the field of global climate change. However …
extensive attention of researchers in the field of global climate change. However …
Literature review of breast cancer detection using machine learning algorithms
Cancer is the leading cause of non-accidental deaths worldwide. Specifically, nearly 10
million people died globally from cancer in the year 2020. Breast Cancer (BC) is a common …
million people died globally from cancer in the year 2020. Breast Cancer (BC) is a common …
[HTML][HTML] Convolution neural network for breast cancer detection and classification using deep learning
Objective: Early detection and precise diagnosis of breast cancer (BC) plays an essential
part in enhancing the diagnosis and improving the breast cancer survival rate of patients …
part in enhancing the diagnosis and improving the breast cancer survival rate of patients …
Breast cancer histopathological image classification using convolutional neural networks
The performance of most conventional classification systems relies on appropriate data
representation and much of the efforts are dedicated to feature engineering, a difficult and …
representation and much of the efforts are dedicated to feature engineering, a difficult and …
Deep features for breast cancer histopathological image classification
Breast cancer (BC) is a deadly disease, killing millions of people every year. Developing
automated malignant BC detection system applied on patient's imagery can help dealing …
automated malignant BC detection system applied on patient's imagery can help dealing …
Classification of mammogram images using multiscale all convolutional neural network (MA-CNN)
Breast cancer is one of the leading causes of cancer death among women in worldwide.
Early diagnosis of breast cancer improves the chance of survival by aiding proper clinical …
Early diagnosis of breast cancer improves the chance of survival by aiding proper clinical …
An evaluation of convolutional neural networks for music classification using spectrograms
Music genre recognition based on visual representation has been successfully explored
over the last years. Classifiers trained with textural descriptors (eg, Local Binary Patterns …
over the last years. Classifiers trained with textural descriptors (eg, Local Binary Patterns …
Using filter banks in convolutional neural networks for texture classification
V Andrearczyk, PF Whelan - Pattern Recognition Letters, 2016 - Elsevier
Deep learning has established many new state of the art solutions in the last decade in
areas such as object, scene and speech recognition. In particular Convolutional Neural …
areas such as object, scene and speech recognition. In particular Convolutional Neural …
[HTML][HTML] Automated depression analysis using convolutional neural networks from speech
L He, C Cao - Journal of biomedical informatics, 2018 - Elsevier
To help clinicians to efficiently diagnose the severity of a person's depression, the affective
computing community and the artificial intelligence field have shown a growing interest in …
computing community and the artificial intelligence field have shown a growing interest in …
C-CNN: Contourlet convolutional neural networks
Extracting effective features is always a challenging problem for texture classification
because of the uncertainty of scales and the clutter of textural patterns. For texture …
because of the uncertainty of scales and the clutter of textural patterns. For texture …