A systematic review of artificial intelligence techniques in cancer prediction and diagnosis

Y Kumar, S Gupta, R Singla, YC Hu - Archives of Computational Methods …, 2022 - Springer
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 …

[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 …

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

M Abdar, M Samami, SD Mahmoodabad… - Computers in biology …, 2021 - Elsevier
Accurate automated medical image recognition, including classification and segmentation,
is one of the most challenging tasks in medical image analysis. Recently, deep learning …

Dynamic routing between capsules

S Sabour, N Frosst, GE Hinton - Advances in neural …, 2017 - proceedings.neurips.cc
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 …

Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations

AU Osarogiagbon, F Khan, R Venkatesan… - Process Safety and …, 2021 - Elsevier
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 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) …

Cervical net: A novel cervical cancer classification using feature fusion

H Alquran, M Alsalatie, WA Mustafa, RA Abdi… - Bioengineering, 2022 - mdpi.com
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 …

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 …

A hybrid framework for lung cancer classification

Z Ren, Y Zhang, S Wang - Electronics, 2022 - mdpi.com
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 …

Predictions of cervical cancer identification by photonic method combined with machine learning

M Kruczkowski, A Drabik-Kruczkowska, A Marciniak… - Scientific Reports, 2022 - nature.com
Cervical cancer is one of the most commonly appearing cancers, which early diagnosis is of
greatest importance. Unfortunately, many diagnoses are based on subjective opinions of …