CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images

Research article (2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020) · cited 20× · AI/ML
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CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images

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CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-in-ct-image-segmentation-beyond-loss-function-for-exploiting-ground-truth-images
MLA “CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-in-ct-image-segmentation-beyond-loss-function-for-exploiting-ground-truth-images.
BibTeX @misc{4ortxyz_cnn-in-ct-image-segmentation-beyond-loss-function-for-exploiting-ground-truth-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-in-ct-image-segmentation-beyond-loss-function-for-exploiting-ground-truth-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images — https://4ort.xyz/entity/cnn-in-ct-image-segmentation-beyond-loss-function-for-exploiting-ground-truth-images (retrieved 2026-05-24)

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