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 Post-Operative Brain MRI Resection Cavity Segmentation Model and Follow-Up Treatment Assistance Subject The topic of the resource Attention-Enabled U-Net; post-operative magnetic resonance imaging (MRI); resection cavities; segmentation; VGG16 encoder Description An account of the resource Post-operative brain magnetic resonance imaging (MRI) segmentation is inherently challenging due to the diverse patterns in brain tissue, which makes it difficult to accurately identify resected areas. Therefore, there is a crucial need for a precise segmentation model. Due to the scarcity of post-operative brain MRI scans, it is not feasible to use complex models that require a large amount of training data. This paper introduces an innovative approach for accurately segmenting and quantifying post-operative brain resection cavities in MRI scans. The proposed model, named Attention-Enhanced VGG-U-Net, integrates VGG16 initial weights in the encoder section and incorporates a self-attention module in the decoder, offering improved accuracy for postoperative brain MRI segmentation. The attention mechanism enhances its accuracy by concentrating on a specific area of interest. The VGG16 model is comparatively lightweight, has pre-trained weights, and allows the model to extract incredibly detailed information from the input. The model is trained on publicly available post-operative brain MRI data and achieved a Dice coefficient value of 0.893. The model is then assessed using a clinical dataset of postoperative brain MRIs. The model facilitates the quantification of the resected regions and enables comparisons with each brain region based on pre-operative images. The capabilities of the model assist radiologists in evaluating surgical success and directing follow-up procedures. 2024 by the authors of this article. Creator An entity primarily responsible for making the resource Xavier P.S.; 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. 5, pp. 133-149. 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.v20i05.45609" target="_blank" rel="noreferrer noopener">https://doi.org/10.3991/ijoe.v20i05.45609</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188275640&amp;doi=10.3991%2Fijoe.v20i05.45609&amp;partnerID=40&amp;md5=3e2892c029561965ce7daf3e3ec50168" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188275640&amp;doi=10.3991%2fijoe.v20i05.45609&amp;partnerID=40&amp;md5=3e2892c029561965ce7daf3e3ec50168</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 Xavier P.S., 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