Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advancing Brain Tumor Segmentation in MRI Scans: Hybrid Attention-Residual UNET with Transformer Blocks Subject The topic of the resource attention UNET; post-operative MRI; residual tumors; RESNET-50; UNET; UNET++ Description An account of the resource Accurate segmentation of brain tumors is vital for effective treatment planning, disease diagnosis, and monitoring treatment outcomes. Post-surgical monitoring, particularly for recurring tumors, relies on MRI scans, presenting challenges in segmenting small residual tumors due to surgical artifacts. This emphasizes the need for a robust model with superior feature extraction capabilities for precise segmentation in both pre-and post-operative scenarios. The study introduces the Hybrid Attention-Residual UNET with Transformer Blocks (HART-UNet), enhancing the U-Net architecture with a spatial self-attention module, deep residual connections, and RESNET50 weights. Trained on BRATS20 and validated on Kaggle LGG and BTC_ postop datasets, HART-UNet outperforms established models (UNET, Attention UNET, UNET++, and RESNET 50), achieving Dice Coefficients of 0.96, 0.97, and 0.88, respectively. These results underscore the models superior segmentation performance, marking a significant advancement in brain tumor analysis across pre-and post-operative MRI scans. 2024 by the authors of this article. Creator An entity primarily responsible for making the resource Sobha Xavier P.; Sathish P.K.; Raju G. Source A related resource from which the described resource is derived International journal of online and biomedical engineering, Vol-20, No. 6, pp. 103-115. Publisher An entity responsible for making the resource available International Federation of Engineering Education Societies (IFEES) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3991/ijoe.v20i06.46979" target="_blank" rel="noreferrer noopener">https://doi.org/10.3991/ijoe.v20i06.46979</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191715725&amp;doi=10.3991%2Fijoe.v20i06.46979&amp;partnerID=40&amp;md5=008dd4dcc5315ab68bf960301eb2ebbe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191715725&amp;doi=10.3991%2fijoe.v20i06.46979&amp;partnerID=40&amp;md5=008dd4dcc5315ab68bf960301eb2ebbe</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26268493 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sobha Xavier P., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Sathish P.K., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Raju G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India