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- ---
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ task_categories:
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+ - image-segmentation
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+ - surgical-workflow
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+ tags:
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+ - medical
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+ - microsurgery
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+ ---
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+
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+ # MAVIS (Micro-surgical Artificial Vascular Anastomosis)
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+
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+ ## Dataset Overview
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+
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+ MAVIS is a microsurgical dataset comprising 19 videos of artificial vascular anastomosis procedures performed by three expert microsurgeons at Korea University. For each video frame, it provides:
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+
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+ - **Pixel-level segmentation** of seven tool categories
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+ - **Frame-level workflow annotations**: surgical stage, phase, and step
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+
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+ This dataset enables research on both surgical tool segmentation and surgical workflow recognition in ultra-fine microsurgical environments.
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+
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+ ## Data Collection
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+
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+ 1. **Subjects & Cases**
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+ - 19 recorded anastomosis sessions on an artificial vessel simulator
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+ - Surgeon assignments:
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+ - CASE 01–07: Surgeon 1 (Jaemin Lee)
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+ - CASE 08–14: Surgeon 2 (Yeongyun Ko)
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+ - CASE 15–19: Surgeon 3 (Jaejun Nam)
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+
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+ 2. **Acquisition Setup**
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+ - Microscope/Camera model: ???
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+ - Original resolution: ??? px
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+ - Frame rate: ??? fps
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+ - Cropped frame size: 1920 × 1072 px
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+
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+ 3. **Annotation Tools & Process**
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+ - **Segmentation**: ???
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+ - **Workflow**: Manual tagging of stage/phase/step by the non-medical
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+
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+ 4. **Annotators**
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+ - (Three fellowship-trained microsurgeons)(확인 필요)
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+ - Labels applied following a standardized workflow guideline
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+
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+ ## Data Details
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+
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+ ### Directory Structure
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+
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+ ```
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+ MAVIS
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+ ├── frames
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+ │ ├── CASE01
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+ │ │ ├── image_00001.jpg
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+ │ │ └── ...
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+ │ ├── ...
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+ ├── annotations
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+ │ ├── long-term.json
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+ │ ├── short-term.json
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+ │ ├── segmentations
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+ │ │ ├── CASE01
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+ │ │ │ ├── image_00001.png
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+ │ │ │ └── ...
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+ │ │ ├── ...
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+ │ └── segmentations_with_keypoint
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+ │ ├── CASE01
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+ │ │ ├── image_00001.png
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+ │ │ └── ...
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+ │ ├── ...
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+ ├── fig
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+ └── README.md
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+ ```
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+
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+ ### Annotation Formats
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+
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+ - **short-term.json**
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+ - For each frame: polygon mask data for seven tool classes(CASE마다 약 64장 정도씩만 있는 것 언급하는게 좋을지?)
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+ - **long-term.json**
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+ - For each frame: stage, phase, and step labels
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+
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+
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+ ### Stage–Phase–Step Hierarchy
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+
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+ The workflow annotations are organized into six **Stages**, each containing one or more **Phases**, which in turn consist of individual **Steps**. Below is the full breakdown with descriptions:
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+
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+ 1. **First tying** (forming the first knot)
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+ 1. **Phase: Suturing** – place and position the suture
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+ - **Needle holding**: grasp the suture needle securely with the needle holder
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+ - **Needle passing**: insert the needle through both edges of the vessel and pull it through
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+ - **Needle dropping**: release the needle at the optimal position for tying (≈5 o’clock)
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+ 2. **Phase: Knot tying** – create the knot
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+ - **1st knot**: wrap the free end of the suture around the instrument and tighten
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+ - **2nd knot**: repeat wrapping in the opposite direction and tighten
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+ - **3rd knot**: final wrap to secure the stitch
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+ 3. **Phase: Cutting** – trim excess suture
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+ - **Cutting**: use scissors to sever both ends of the suture (can cut both at once or sequentially)
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+
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+ 2. **Second tying** (forming the second knot at a rotated position) (6개 stage가 되려면 120°, 180° tying을 분리해야 하는데 설명을 추가할지?)
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+ - *Subtasks*: identical to First tying (Suturing → Knot tying → Cutting)
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+
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+ 3. **Front side tying** (additional knot on the front face between first and second)
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+ - *Subtasks*: identical to First tying
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+
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+ 4. **Flip** (reorient vessel for back‐side access)
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+ - **Phase: Flip** – flip the vessel clamp
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+ - **Flip clamp**: reposition the clamp so that the vessel’s backside faces the camera
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+
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+ 5. **Back side tying** (forming knots on the backside between first and second)
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+ - *Subtasks*: identical to First tying
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+
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+
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+ ### Tool Segmentation Classes
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+
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+ The dataset contains the following classes:
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+
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+ | Class ID | Class Name |RGB Color |
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+ |----------|------------------|----------------|
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+ | 0 | forceps |(253, 0, 26) |
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+ | 1 | scissors |(43, 253, 62) |
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+ | 2 | vascular_clamps |(0, 43, 249) |
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+ | 3 | needle_holder |(255, 253, 66) |
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+ | 4 | vessel |(253, 40, 250) |
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+ | 5 | needle |(38, 255, 254) |
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+ | 6 | thread |(198, 161, 251) |
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+
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+ ## Examples of Labeled Data
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+
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+ Figure 1, 2, 3 shows some examples of labeled data.
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+
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+ <figure>
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+ <img src="./fig/ex1.jpg" width="1920" height="1072"/>
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+ <figcaption>Figure 1: Example of Segmentation Mask of Image 1</figcaption>
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+ </figure>
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+
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+ <figure>
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+ <img src="./fig/ex2.jpg" width="1920" height="1072"/>
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+ <figcaption>Figure 2: Example of Segmentation Mask of Image 2</figcaption>
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+ </figure>
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+
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+ <figure>
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+ <img src="./fig/ex3.jpg" width="1920" height="1072"/>
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+ <figcaption>Figure 3: Example of Segmentation Mask of Image 3</figcaption>
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+ </figure>
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+
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{
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+ }