Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Engineering an injectable and tunable hydrogel as a potential vitreous substitute.

Journal of materials chemistry. B·2026
Same author

A Janus polydopamine nanomotor hydrogel enables enhanced tumor penetration and potent synergistic photothermal-photodynamic therapy.

Materials today. Bio·2026
Same author

MYCN Amplification Drives Ferroptosis Susceptibility via Cysteine Metabolism in Retinoblastoma.

Investigative ophthalmology & visual science·2026
Same author

Assessment of microcystoid macular edema in postoperative epiretinal membrane using adaptive optics scanning laser ophthalmoscopy and swept-source optical coherence tomography: a pilot study.

Retina (Philadelphia, Pa.)·2026
Same author

Parameter-efficient contrastive language-image pre-training (CLIP) adaptation for few-shot anomaly detection in ultra-widefield fundus images.

Photodiagnosis and photodynamic therapy·2026
Same author

Retinal structural and vascular alterations in diabetic kidney disease: A bidirectional Mendelian randomization study.

Microvascular research·2026

Related Experiment Video

Updated: Oct 25, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.1K

Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence

Hanyue Xu1,2, Lei Deng3, Rong Tian4

  • 1Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Frontiers in Oncology
|August 9, 2021
PubMed
Summary

No abstract available in PubMed .

Keywords:
artificial intelligencediagnosismachine learningprognosisradiomicstumor

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.4K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.7K

Related Experiment Videos

Last Updated: Oct 25, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.1K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.4K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.7K