[HTML][HTML] An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
M Desai, M Shah - Clinical eHealth, 2021 - Elsevier
This paper aims to review Artificial neural networks, Multi-Layer Perceptron Neural network
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …
Convolutional neural network improvement for breast cancer classification
Traditionally, physicians need to manually delineate the suspected breast cancer area.
Numerous studies have mentioned that manual segmentation takes time, and depends on …
Numerous studies have mentioned that manual segmentation takes time, and depends on …
A combined deep CNN: LSTM with a random forest approach for breast cancer diagnosis
The most predominant kind of disease that is normal among ladies is breast cancer. It is one
of the significant reasons among ladies, regardless of huge endeavors to stay away from it …
of the significant reasons among ladies, regardless of huge endeavors to stay away from it …
Diagnosis of breast cancer for modern mammography using artificial intelligence
R Karthiga, K Narasimhan, R Amirtharajan - Mathematics and Computers in …, 2022 - Elsevier
The diagnosis of breast cancer, one of the most common types of cancer worldwide, is still a
challenging task. Localisation of the breast mass and accurate classification is crucial in …
challenging task. Localisation of the breast mass and accurate classification is crucial in …
Medical image diagnosis based on adaptive Hybrid Quantum CNN
Hybrid quantum systems have shown promise in image classification by combining the
strengths of both classical and quantum algorithms. These systems leverage the parallel …
strengths of both classical and quantum algorithms. These systems leverage the parallel …
RETRACTED ARTICLE: CanarDeep: a hybrid deep neural model with mixed fusion for rumour detection in social data streams
DK Jain, A Kumar, A Shrivastava - Neural Computing and Applications, 2022 - Springer
The unrelenting trend of doctored narratives, content spamming, fake news and rumour
dissemination on social media can lead to grave consequences that range from online …
dissemination on social media can lead to grave consequences that range from online …
A comprehensive study of mammogram classification techniques
P Oza, Y Shah, M Vegda - Tracking and preventing diseases with artificial …, 2022 - Springer
Cancer instances have increased in the recent past and are risking many lives. Every kind of
cancer is caused due to a malignant (cancerous) tumor which looks pretty similar to a …
cancer is caused due to a malignant (cancerous) tumor which looks pretty similar to a …
Performance‐weighted‐voting model: An ensemble machine learning method for cancer type classification using whole‐exome sequencing mutation
Background With improvements in next‐generation DNA sequencing technology, lower cost
is needed to collect genetic data. More machine learning techniques can be used to help …
is needed to collect genetic data. More machine learning techniques can be used to help …
Breast cancer detection and classification
P Kathale, S Thorat - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Breast Cancer is more common hence, identification of BC and detection of region of breast
affected is more important. Mammography screening images two views CC and MLO are …
affected is more important. Mammography screening images two views CC and MLO are …
Deep residual learning with attention mechanism for breast cancer classification
Invasive ductal carcinoma (IDC) is a common form of breast cancer that affects women. In
traditional medical practice, physicians have to manually test and classify areas which are …
traditional medical practice, physicians have to manually test and classify areas which are …