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Download Liver Tumor Segmentation Thesis by ['Seddik Khemaissia'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Liver Tumor Segmentation Thesis
This bachelor thesis describes using deep convolutional neural networks for liver tumor segmentation in CT scans. The author used a ResUNet model on the 3D-IRCADb01 dataset, which contains CT slices and masks for the liver, tumors, and other organs. The ResUNet model achieved a dice coefficient of up to 95% and true value accuracy of up to 99% for tumor segmentation. The thesis provides background on liver anatomy, CT scans, deep learning concepts, and reviews previous work on liver tumor segmentation. It also describes the methodology used for data preprocessing, augmentation, model training, and evaluation.
Detailed Information
| Author: | ['Seddik Khemaissia'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 62 |
| Language: | English |
| Format: | |
| Price: | FREE |
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