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Medical Image Segmentation Augmentation by Fitri Salamah is a document available to read on EtoBox.
What is Medical Image Segmentation Augmentation about?
This research article presents a novel data augmentation method for medical image segmentation that combines affine transformations with random oversampling to address the challenges of limited annotated data and class imbalance in medical imaging. The proposed method significantly enhances the segmentation accuracy of small tissue lesions, such as pulmonary nodules and liver tumors, when evaluated using the LUNA16 and LiTS17 datasets. The results show that the Mask-RCNN model achieved the best pixelwise se
- Author
- Fitri Salamah
- Language
- EN