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MICCAI Tumor Detection, Segmentation and Classification Challenge on Automatic Breast UltraSound 2023 Challenge implementation from ViCOROB team.

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Tumor Detection, Segmentation and Classification Challenge on Automatic Breast UltraSound 2023 (TDSC-ABUS 2023)

This is the oficial implementation of the ViCOROB Team challenge submission for the TDSC-ABUS 2023 MICCAI challenge. The description of the challenge can be found on the grand challenge website.

A more detailed description of the methods and results can be found in the paper "SAM-PR: Enhancing 3D Automated Breast Ultrasound Imaging Segmentation with Probabilistic Refinement of SAM", presented in the 17th International Workshop on Breast Imaging (IWBI 2024).

How to run YOLOv8:

https://docs.ultralytics.com/quickstart/

Structure of the repository

.
├── README.md
├── data
│   ├── challenge_2023
│   │   ├── TRAIN (original)
│   │   │   ├── DATA
│   │   │   ├── MASKS
│   │   └── only_lesion
│   │       ├── image_mha
│   │       ├── label_mha
├── checkpoints (for SAMed)
│   ├── epoch_159.pth (LoRA pretrained on Med)
│   ├── sam_vit_b_01ec64.pth (SAM pretrained)
├── SAMed (cloned from original repo)

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MICCAI Tumor Detection, Segmentation and Classification Challenge on Automatic Breast UltraSound 2023 Challenge implementation from ViCOROB team.

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