Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Proceedings |
Editors | Nicholas Heller, Andrew Wood, Christopher Weight, Fabian Isensee, Tim Rädsch, Resha Teipaul, Nikolaos Papanikolopoulos |
Publisher | Springer |
Publication date | 2024 |
Pages | 143-148 |
ISBN (Print) | 9783031548055 |
DOIs | |
Publication status | Published - 2024 |
Event | 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 Duration: 8 Oct 2023 → 8 Oct 2023 |
Conference
Conference | 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 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14540 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
- kidney tumor, KiTS23 challenge, Multi-Planner U-Net, segmentation
Research areas
ID: 388021142