Home ›
Entities
› academia
› Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images
Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images
Research article (Oral Surgery Oral Medicine Oral Pathology and Oral Radiology, 2023) · cited 42× · AI/ML
Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images
Summary
Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images is a scholarly article[1].
Key Facts
Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-preprocessing-with-contrast-limited-adaptive-histogram-equalization-improves-the-segmentation-performance-of-deep-
MLA“Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-preprocessing-with-contrast-limited-adaptive-histogram-equalization-improves-the-segmentation-performance-of-deep-.
BibTeX@misc{4ortxyz_image-preprocessing-with-contrast-limited-adaptive-histogram-equalization-improves-the-segmentation-performance-of-deep-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images}}, year = {2026}, url = {https://4ort.xyz/entity/image-preprocessing-with-contrast-limited-adaptive-histogram-equalization-improves-the-segmentation-performance-of-deep-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images — https://4ort.xyz/entity/image-preprocessing-with-contrast-limited-adaptive-histogram-equalization-improves-the-segmentation-performance-of-deep- (retrieved 2026-05-24)