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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Exploring the Adaptability of Attention U-Net for Post-operative Brain Tumor Segmentation in MRI Scans Subject The topic of the resource Attention U-Net; Post-operative MRI; Recurrent tumor; Residual connections Description An account of the resource This study explores the adaptability of a segmentation model, originally trained on pre-operative MRI data, in post-operative recurrent brain tumor segmentation. We utilized the Attention U-Net model for this study. In pre-operative training, the model achieved a Dice Coefficient of 0.92 and an IOU of 0.86 for brain tumor MRI segmentation. Due to the surgical artifacts in post-operative data, performance reduced with Dice Coefficient of 0.54 and an IOU of 0. To improve the performance, the model's architecture is fine-tuned by introducing dilated convolutions and residual connections. This refinement yielded improvements in results, with a Dice Coefficient of 0.68 and an IOU of 0.62 in the post-operative context. This improvement underscores the need for further research to select and adapt efficient models, retrain specific layers with an extensive collection of post-operative images, and fine-tune model parameters to enhance feature extraction during the encoding phase. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. 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 Smart Innovation, Systems and Technologies, Vol-395 SIST, pp. 333-340. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-97-5081-8_27" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-5081-8_27</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208628599&amp;doi=10.1007%2F978-981-97-5081-8_27&amp;partnerID=40&amp;md5=805f80ce98fe7181eb22604e5126489b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208628599&amp;doi=10.1007%2f978-981-97-5081-8_27&amp;partnerID=40&amp;md5=805f80ce98fe7181eb22604e5126489b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981975080-1 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 Conference paper 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 and Engineering School of Engineering and Technology, CHRIST University, Bengaluru, India; Sathish P.K., Department of Computer Science and Engineering School of Engineering and Technology, CHRIST University, Bengaluru, India; Raju G., Department of Computer Science and Engineering School of Engineering and Technology, CHRIST University, Bengaluru, India