Editorial: Artificial intelligence and imaging for oncology

Yuxiang Zhou; Zhimin Li; Poonam Yadav

doi:10.3389/fonc.2025.1547968

Editorial: Artificial intelligence and imaging for oncology

Yuxiang Zhou^*, Zhimin Li^*, Poonam Yadav^*

^*Corresponding author for this work

Radiation Oncology

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Article number	1547968
Journal	Frontiers in Oncology
Volume	15
DOIs	https://doi.org/10.3389/fonc.2025.1547968
State	Published - 2025

Keywords

artificial intelligence
CT
deep learning
MRI
pathological image
PET
radiomics
ultrasound

ASJC Scopus subject areas

Oncology
Cancer Research

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10.3389/fonc.2025.1547968

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title = "Editorial: Artificial intelligence and imaging for oncology",

keywords = "artificial intelligence, CT, deep learning, MRI, pathological image, PET, radiomics, ultrasound",

author = "Yuxiang Zhou and Zhimin Li and Poonam Yadav",

year = "2025",

doi = "10.3389/fonc.2025.1547968",

language = "English (US)",

volume = "15",

journal = "Frontiers in Oncology",

issn = "2234-943X",

publisher = "Frontiers Media SA",

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TY - JOUR

T1 - Editorial

T2 - Artificial intelligence and imaging for oncology

AU - Zhou, Yuxiang

AU - Li, Zhimin

AU - Yadav, Poonam

PY - 2025

Y1 - 2025

KW - artificial intelligence

KW - CT

KW - deep learning

KW - MRI

KW - pathological image

KW - PET

KW - radiomics

KW - ultrasound

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DO - 10.3389/fonc.2025.1547968

M3 - Editorial

C2 - 39980540

AN - SCOPUS:85218148409

SN - 2234-943X

VL - 15

JO - Frontiers in Oncology

JF - Frontiers in Oncology

M1 - 1547968

ER -

Editorial: Artificial intelligence and imaging for oncology

Keywords

ASJC Scopus subject areas

Access to Document

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