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Machine Learning in Medical Imaging

Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Grigori Yourganov et al. • IEEE Signal Processing Magazine (2010)

This article will discuss very different ways of using machine learning that may be less familiar, and we will demonstrate through examples the role of these concepts in medical imaging. Although the term machine learning is relatively rece...

OPENALEX Open Access DOI: https://doi.org/10.1109/msp.2010.936730 PMC: 4220564

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence

Sebastian Raschka, Joshua M. Patterson, Corey Nolet • Information (2020)

Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the...

OPENALEX cc-by DOI: https://doi.org/10.3390/info11040193

Spatial analysis of smart tourism contrasts A comparison between tourist attractions in Cairo and Dubai

Walaa Mohamed Najeb • Al-Mağallah Al-ʿilmiyyaẗ Li Kulliyyaẗ Al-Adāb - Ǧāmiʿaẗ Asyūṭ (2026)

Technology has undergone rapid advancements, significantly impacting various sectors, with the tourism industry emerging as one of the most benefited. This research examines several key aspects, including: An overview of Cairo and Dubai as ...

DOAJ Open Access (DOAJ) DOI: 10.21608/aakj.2025.429364.2248

Machine learning for precision medicine

Sarah J. MacEachern, Nils D. Forkert • Genome (2020)

Precision medicine is an emerging approach to clinical research and patient care that focuses on understanding and treating disease by integrating multi-modal or multi-omics data from an individual to make patient-tailored decisions. With t...

OPENALEX Open Access DOI: https://doi.org/10.1139/gen-2020-0131

Machine Learning

Mohssen M. Z. E. Mohammed, Muhammad Badruddin Khan, Eihab B. M. Bashier • CRC Press eBooks (2016)

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This...

OPENALEX DOI: https://doi.org/10.1201/9781315371658

Machine Learning and Law

Harry Surden • Colorado Law Scholarly Commons (University of Colorado Colorado Springs) (2014)

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some ...

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Design and Pilot Feasibility of a Low-Cost Wearable for Mexican Sign Language in Inclusive Higher Education

Juan Carlos Ramírez-Vázquez, Guadalupe Esmeralda Rivera-García, Marco Antonio Gómez-Guzmán, Marco Antonio Díaz-Martínez et al. • Technologies (2026)

A substantial number of students with hearing impairments are enrolled in higher education, motivating the development of inclusive assistive technologies that reduce communication barriers. This study developed and evaluated a prototype el...

DOAJ Open Access (DOAJ) DOI: 10.3390/technologies14030189

Machine learning and the physical sciences

Giuseppe Carleo, J. I. Cirac, Kyle Stuart Cranmer, Laurent Daudet et al. • Reviews of Modern Physics (2019)

In October 2018 an APS Physics Next Workshop on Machine Learning was held in Riverhead, NY. This article reviews and summarizes the proceedings of this very broad, emerging field.This needs to be a placard in the left-hand column, with a cu...

OPENALEX Open Access DOI: https://doi.org/10.1103/revmodphys.91.045002

Readings in Machine Learning

JUDE W. SHAVLIK, Thomas E. Deitterich, Thomas G. Dietterich (1991)

From the Publisher: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous ...

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An Introduction to Machine Learning

Solveig Badillo, Balázs Bánfai, Fabian Birzele, Iakov I. Davydov et al. • Clinical Pharmacology & Therapeutics (2020)

In the last few years, machine learning (ML) and artificial intelligence have seen a new wave of publicity fueled by the huge and ever-increasing amount of data and computational power as well as the discovery of improved learning algorithm...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1002/cpt.1796 PMC: 7189875

Machine Learning for Medical Imaging

Bradley James Erickson, Panagiotis D. Korfiatis, Zeynettin Akkus, Timothy Lee Kline • Radiographics (2017)

Machine learning is a technique for recognizing patterns that can be applied to medical images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be misapplied. Machine learning typically begins with the ma...

OPENALEX Open Access DOI: https://doi.org/10.1148/rg.2017160130 PMC: 5375621