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PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage
Research article (Computers in Biology and Medicine, 2024) · cited 13× · AI/ML
PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage
Summary
PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage is a scholarly article[1].
Key Facts
PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage. Retrieved May 24, 2026, from https://4ort.xyz/entity/phe-sich-ct-ids-a-benchmark-ct-image-dataset-for-evaluation-semantic-segmentation-object-detection-and-radiomic-feature-
MLA“PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/phe-sich-ct-ids-a-benchmark-ct-image-dataset-for-evaluation-semantic-segmentation-object-detection-and-radiomic-feature-.
BibTeX@misc{4ortxyz_phe-sich-ct-ids-a-benchmark-ct-image-dataset-for-evaluation-semantic-segmentation-object-detection-and-radiomic-feature-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage}}, year = {2026}, url = {https://4ort.xyz/entity/phe-sich-ct-ids-a-benchmark-ct-image-dataset-for-evaluation-semantic-segmentation-object-detection-and-radiomic-feature-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage — https://4ort.xyz/entity/phe-sich-ct-ids-a-benchmark-ct-image-dataset-for-evaluation-semantic-segmentation-object-detection-and-radiomic-feature- (retrieved 2026-05-24)
