ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2022
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scans.Frontiers in radiology · 2025Article
- Weakly supervised chest X-ray abnormality localization with non-linear modulation and foreground control.Scientific reports · 2024Article
- Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning.Radiology. Artificial intelligence · 2024Article
- Distilling BlackBox to Interpretable Models for Efficient Transfer Learning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat.Proceedings of machine learning research · 2023Article
- Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.IEEE transactions on medical imaging · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Creating a large-scale dataset of abnormality annotation on medical images is a labor-intensive and costly task. Leveraging
Indexed as
Identifiers
38952749PMC11215940What OpenQuestion 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 OpenQuestion graph.