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A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
[HTML][HTML] An overview of deep learning in medical imaging
A Anaya-Isaza, L Mera-Jiménez… - Informatics in medicine …, 2021 - Elsevier
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …
growth in recent years. The scientific community has focused its attention on DL due to its …
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
Accurate automated medical image recognition, including classification and segmentation,
is one of the most challenging tasks in medical image analysis. Recently, deep learning …
is one of the most challenging tasks in medical image analysis. Recently, deep learning …
Dynamic routing between capsules
A capsule is a group of neurons whose activity vector represents the instantiation
parameters of a specific type of entity such as an object or object part. We use the length of …
parameters of a specific type of entity such as an object or object part. We use the length of …
Cercan· net: Cervical cancer classification model via multi-layer feature ensembles of lightweight cnns and transfer learning
O Attallah - Expert Systems with Applications, 2023 - Elsevier
Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …
Machine learning assisted cervical cancer detection
M Mehmood, M Rizwan, M Gregus ml… - Frontiers in public …, 2021 - frontiersin.org
Cervical malignant growth is the fourth most typical reason for disease demise in women
around the globe. Cervical cancer growth is related to human papillomavirus (HPV) …
around the globe. Cervical cancer growth is related to human papillomavirus (HPV) …
[HTML][HTML] Cervical net: A novel cervical cancer classification using feature fusion
Cervical cancer, a common chronic disease, is one of the most prevalent and curable
cancers among women. Pap smear images are a popular technique for screening cervical …
cancers among women. Pap smear images are a popular technique for screening cervical …
Deep learning in cervical cancer diagnosis: architecture, opportunities, and open research challenges
N Youneszade, M Marjani, CP Pei - IEEe Access, 2023 - ieeexplore.ieee.org
Nowadays, deep learning (DL) is a popular tool used in various applications in different
fields, including the medical domain. DL techniques can cope with several challenges …
fields, including the medical domain. DL techniques can cope with several challenges …
Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations
Results of bibliometric analysis and a detailed review are reported on the use of supervised
machine learning to study hazardous drilling events. The bibliometric analysis attempts to …
machine learning to study hazardous drilling events. The bibliometric analysis attempts to …
[HTML][HTML] A hybrid framework for lung cancer classification
Cancer is the second leading cause of death worldwide, and the death rate of lung cancer is
much higher than other types of cancers. In recent years, numerous novel computer-aided …
much higher than other types of cancers. In recent years, numerous novel computer-aided …