ReviewJournal of applied clinical medical physics2021
Artificial intelligence in tumor subregion analysis based on medical imaging: A review.
Review in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 31 citations in OpenAlex.
- Application advances of habitat imaging based on CT or PET/CT: a systematic review.La Radiologia medica · 2026Review
- Biphasic CT clustering-based habitat radiomics predicts WHO/ISUP nuclear grade in clear cell renal cell carcinoma.Abdominal radiology (New York) · 2026Article
- Intratumoral habitat imaging for progression-free survival prediction of patients with high-risk, non-metastatic clear cell renal cell carcinoma.Abdominal radiology (New York) · 2026Article
- Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung Cancer.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Habitat Radiomics Predict HPV Status in Oropharyngeal Cancer.Cancer medicine · 2025Article
- Improving Fairness of Automated Chest Radiograph Diagnosis by Contrastive Learning.Radiology. Artificial intelligence · 2024Article
- Article
- Hippocampus substructure segmentation using morphological vision transformer learning.Physics in medicine and biology · 2023Article
- Comparison of image-based modified Ferriman-Gallway score evaluation with in-person evaluation: an alternative method for hirsutism diagnosis.Archives of dermatological research · 2023Article
- Review
- Natural therapeutics against SARS CoV2: the potentiality and challenges.Vegetos (Bareilly, India) · 2023Review
- Primary Open-Angle Glaucoma Diagnosis from Optic Disc Photographs Using a Siamese Network.Ophthalmology science · 2022Article
- Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.Machine learning in medical imaging. MLMI (Workshop) · 2022Article
- Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.Scientific reports · 2022Article
- MRI-based prostate and dominant lesion segmentation using cascaded scoring convolutional neural network.Medical physics · 2022Article
- Machine learning-based approaches for identifying human blood cells harboring CRISPR-mediated fetal chromatin domain ablations.Scientific reports · 2022Article
- A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor.Frontiers in neuroinformatics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial intelligence (AI) has achieved tremendous success in medical image analysis. This paper reviews AI-based tumor subregion analysis in medical imaging. We summarize the latest AI-based methods for tumor subregion analysis and their applications. Specifically, we categorize the AI-based methods by training strategy: supervised and unsupervised. A detailed review of each category is presented, highlighting important contributions and achievements. Specific challenges and potential applications of AI in tumor subregion analysis are discussed.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.