Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

M Gheisari, F Ebrahimzadeh, M Rahimi… - CAAI Transactions …, 2023 - Wiley Online Library
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 …

A new era: artificial intelligence and machine learning in prostate cancer

SL Goldenberg, G Nir, SE Salcudean - Nature Reviews Urology, 2019 - nature.com
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 …

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 …

A survey on deep learning in medical image analysis

G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi… - Medical image …, 2017 - Elsevier
Deep learning algorithms, in particular convolutional networks, have rapidly become a
methodology of choice for analyzing medical images. This paper reviews the major deep …

[HTML][HTML] Intelligent hybrid deep learning model for breast cancer detection

X Wang, I Ahmad, D Javeed, SA Zaidi, FM Alotaibi… - Electronics, 2022 - mdpi.com
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 …

Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

SC Wetstein, VMT de Jong, N Stathonikos, M Opdam… - Scientific reports, 2022 - nature.com
Breast cancer tumor grade is strongly associated with patient survival. In current clinical
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 …

The global research of artificial intelligence on prostate cancer: a 22-year bibliometric analysis

Z Shen, H Wu, Z Chen, J Hu, J Pan, J Kong… - Frontiers in …, 2022 - frontiersin.org
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 …

Deep learning-based gleason grading of prostate cancer from histopathology images—role of multiscale decision aggregation and data augmentation

D Karimi, G Nir, L Fazli, PC Black… - IEEE journal of …, 2019 - ieeexplore.ieee.org
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 …

MuDeRN: Multi-category classification of breast histopathological image using deep residual networks

Z Gandomkar, PC Brennan, C Mello-Thoms - Artificial intelligence in …, 2018 - Elsevier
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 …