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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992 [270] [271] Z. Hong et al. Arrhythmia Dataset Data for a group of patients, of which some have cardiac arrhythmia. 276 features for each instance. 452 Text Classification 1998 [272] [273] H. Altay et al.

  3. Conformal prediction - Wikipedia

    en.wikipedia.org/wiki/Conformal_prediction

    Conformal prediction is used in a variety of fields and is an active area of research. For example, in biotechnology it has been used to predict uncertainties in breast cancer, [12] stroke risks, [13] data storage, [14] and disk drive scrubbing. [15] In the domain of hardware security it has been used to detect the evolving hardware trojans. [16]

  4. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  5. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]

  6. The Cancer Genome Atlas - Wikipedia

    en.wikipedia.org/wiki/The_Cancer_Genome_Atlas

    The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.

  7. Breast cancer screening - Wikipedia

    en.wikipedia.org/wiki/Breast_cancer_screening

    Mammography is a common screening method, since it is relatively fast and widely available in developed countries. Mammography is a type of radiography used on the breasts. . It is typically used for two purposes: to aid in the diagnosis of a woman who is experiencing symptoms or has been called back for follow-up views (called diagnostic mammography), and for medical screening of apparently ...

  8. Cancer screening - Wikipedia

    en.wikipedia.org/wiki/Cancer_screening

    Breast cancer is the most common cancer for women. [23] Screening is done to detect the disease early in asymptomatic women, in an attempt to achieve an earlier diagnosis and lower mortality. Different screening tests are used for breast cancer screening, including clinical and self-examination of the breasts, mammography, and magnetic ...

  9. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    In 1991, a CNN was applied to medical image object segmentation [55] and breast cancer detection in mammograms. [56] LeNet -5 (1998), a 7-level CNN by Yann LeCun et al., that classifies digits, was applied by several banks to recognize hand-written numbers on checks digitized in 32×32 pixel images.