Determining Cervical Cancer Possibility by Using Machine Learning Methods ... accuracy compared to the traditional deep learning and information gain methods. Secondly, we provide a survey on the studies exploiting deep learning for cancer detection and diagnosis. A deep learning approach is similarly easy to use when evaluating medical images, and clinicians can perform this method with minimal training. For example, by examining biological data such as DNA methylation and RNA sequencing can then be possible to infer which genes can cause cancer and which genes can instead be able to suppress its expression. Especially we present four popular deep learning architectures, including convolutional neural networks, fully convolutional networks, auto-encoders, and deep belief networks in the survey. This deep learning model could be a valuable tool in countries with limited healthcare resources, where cervical cancer is … Keywords: Cervical cancer, point-of-care screening, global oncology, microholography, deep learning Introduction Prompt and reliable triaging of high-risk HPV cases could help offset severe pathology bottlenecks in resource-limited regions 1 , 2 , and circumvent geographical and/or socioeconomic barriers 3 to effective cervical cancer screening. “Our findings show that a deep learning algorithm can use images collected during routine cervical cancer screening to identify precancerous changes that, if left untreated, may develop into cancer,” said Mark Schiffman, M.D., M.P.H., of NCI’s Division of Cancer Epidemiology … Researchers are now using ML in applications such as EEG analysis and Cancer Detection/Analysis. Recently Kaggle* organized the Intel and MobileODT Cervical Cancer Screening competition to improve the precision and accuracy of cervical cancer screening using deep learning. In December, Brazilian federal auditor Luis Andre Dutra e Silva improved the accuracy of cervical cancer screening by 81 percent using the Intel® Deep Learning SDK and GoogleNet using Caffe to train a Supervised Semantics-Preserving Deep Hashing (SSDH) network.. The cytology based screening method, such as Pap tests, is a common method for the detection of cervical cancer in its early stage [127] . Divya Pathania 1#, Christian Landeros 1,2#, Lucas Rohrer 1,3, Victoria D'Agostino 1,4, Seonki Hong 1, Ismail Degani 1,5, Maria Avila-Wallace 6, Misha Pivovarov 1, Thomas Randall 6, Ralph Weissleder 1,7,8, Hakho Lee 1,8, Hyungsoon Im 1,8 , Cesar M. Castro 1,9 . Deep learning has also found applications in other types of cancers, such as cervical cancer, bladder cancer, liver cancer, and so on. 1. Point-of-care cervical cancer screening using deep learning-based microholography .