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Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …
new knowledge. By using DL, the extraction of advanced data representations and …
A new era: artificial intelligence and machine learning in prostate cancer
Artificial intelligence (AI)—the ability of a machine to perform cognitive tasks to achieve a
particular goal based on provided data—is revolutionizing and resha** our health-care …
particular goal based on provided data—is revolutionizing and resha** our health-care …
Boosting breast cancer detection using convolutional neural network
SA Alanazi, MM Kamruzzaman… - Journal of …, 2021 - Wiley Online Library
Breast cancer forms in breast cells and is considered as a very common type of cancer in
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
A survey on deep learning in medical image analysis
Deep learning algorithms, in particular convolutional networks, have rapidly become a
methodology of choice for analyzing medical images. This paper reviews the major deep …
methodology of choice for analyzing medical images. This paper reviews the major deep …
[HTML][HTML] Intelligent hybrid deep learning model for breast cancer detection
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …
common cancers in women. Women are also at risk from BC, the second most life …
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Breast cancer tumor grade is strongly associated with patient survival. In current clinical
practice, pathologists assign tumor grade after visual analysis of tissue specimens …
practice, pathologists assign tumor grade after visual analysis of tissue specimens …
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
NIR Yassin, S Omran, EMF El Houby… - Computer methods and …, 2018 - Elsevier
Background and objective The high incidence of breast cancer in women has increased
significantly in the recent years. Physician experience of diagnosing and detecting breast …
significantly in the recent years. Physician experience of diagnosing and detecting breast …
The global research of artificial intelligence on prostate cancer: a 22-year bibliometric analysis
Background With the rapid development of technology, artificial intelligence (AI) has been
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …
Deep learning-based gleason grading of prostate cancer from histopathology images—role of multiscale decision aggregation and data augmentation
Visual inspection of histopathology images of stained biopsy tissue by expert pathologists is
the standard method for grading of prostate cancer (PCa). However, this process is time …
the standard method for grading of prostate cancer (PCa). However, this process is time …
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks
Motivation Identifying carcinoma subtype can help to select appropriate treatment options
and determining the subtype of benign lesions can be beneficial to estimate the patients' risk …
and determining the subtype of benign lesions can be beneficial to estimate the patients' risk …