Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Accurate segmentation of kidney tumors in medical images is crucial for effective treatment planning and patient outcomes prediction. The Kidney and Kidney Tumor Segmentation challenge (KiTS23) serves as a platform for evaluating advanced segmentation methods. In this study, we present our approach utilizing a Multi-Planner U-Net for kidney tumor segmentation. Our method combines the U-Net architecture with multiple image planes to enhance spatial information and improve segmentation accuracy. We employed a 3-fold cross-validation technique on the KiTS23 dataset, evaluating Mean Dice Score, precision, and recall metrics. Results indicate promising performance in segmenting Kidney + Tumor + Cyst and Tumor-only classes, while challenges persist in segmenting Tumor + Cyst cases. Our approach demonstrates potential in kidney tumor segmentation, with room for further refinement to address complex coexisting structures.
Originalsprog | Engelsk |
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Titel | Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Proceedings |
Redaktører | Nicholas Heller, Andrew Wood, Christopher Weight, Fabian Isensee, Tim Rädsch, Resha Teipaul, Nikolaos Papanikolopoulos |
Forlag | Springer |
Publikationsdato | 2024 |
Sider | 143-148 |
ISBN (Trykt) | 9783031548055 |
DOI | |
Status | Udgivet - 2024 |
Begivenhed | 3rd International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023 - Vancouver, Canada Varighed: 8 okt. 2023 → 8 okt. 2023 |
Konference
Konference | 3rd International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023 |
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Land | Canada |
By | Vancouver |
Periode | 08/10/2023 → 08/10/2023 |
Navn | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Vol/bind | 14540 LNCS |
ISSN | 0302-9743 |
Bibliografisk note
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
ID: 388021142