Update README.md

README.md

@@ -14,25 +14,22 @@ This dataset was presented in the paper: [Microsurgical Instrument Segmentation
 
 ## Dataset Overview
 
-*MISAW-Seg* is a surgical segmentation dataset that extends the original [MISAW dataset](https://www.synapse.org/Synapse:syn21776936/files/) by introducing segmentation annotations for microsurgical tools involved in artificial vessel anastomosis tasks. The original dataset included kinematic data, workflow annotations, and stereo video recordings, but lacked pixel-wise annotations for surgical tools. 
+*MISAW-Seg* is a surgical segmentation dataset that extends the original [MISAW dataset](https://www.synapse.org/Synapse:syn21776936/files/) by introducing segmentation annotations for microsurgical tools involved in artificial vessel anastomosis tasks.
 
-This dataset provides new segmentation masks created using the Roboflow platform, enabling segmentation research in microsurgical environments. *MISAW-Seg* is released under the license CC BY-NC 4.0.
+This segmentation dataset was developed by the *Korea Institute of Science and Technology (KIST)* by annotating the original MISAW dataset.
 
 ## Data Preparation
-
-The *MISAW-Seg* dataset is constructed by extending the original MISAW dataset, which consists of microsurgical training sessions involving artificial vessel anastomosis. 
-<!--From this dataset, we extracted image frames and manually created semantic segmentation masks for surgical tools.-->
-
-The original MISAW dataset includes kinematic data, stereo video, and workflow annotations. These additional components can be accessed separately at:
-
-[Download MISAW dataset](https://www.synapse.org/Synapse:syn21776936/files/)
+The *MISAW-Seg* dataset is constructed by extending the original [MISAW dataset](https://www.synapse.org/Synapse:syn21776936/files/), which consists of microsurgical training sessions involving artificial vessel anastomosis. 
 
 In this dataset, we focus on providing:
 
-- Extracted image frames (460×540 px) from stereo microscope video
-- Corresponding semantic segmentation masks in both PNG and COCO format
+- **Extracted image frames**: 460 × 540 px frames cropped from the original stereo microscope video.
+- **Corresponding semantic segmentation masks**: Provided in both PNG (bitmask) and COCO (JSON) formats.
 
-<!--Surgical tools were manually annotated on each frame using the Roboflow platform, enabling segmentation tasks in microsurgical environments.-->
+**Technical Specifications:**
+- **Source Dataset:** [MISAW (Microsurgical Anastomosis Sub-task Dataset)](https://www.synapse.org/Synapse:syn21776936/files/)
+- **Annotation Tool:** Manual annotation via the Roboflow platform.
+- **Task:** Surgical instrument segmentation in artificial vessel anastomosis.
 
 ## Data Details
 
@@ -149,4 +146,11 @@ If you use this dataset in your research, please cite:
       primaryClass={cs.CV},
       url={https://arxiv.org/abs/2509.11727}, 
 }
-```
+```
+
+
+## Acknowledgment
+This work was supported by the Technology Innovation Program (No. RS-2024-00443054) grant funded by the Korea government (the Ministry of Trade, Industry & Energy (MOTIE)). 
+
+- **Project Name:** Development of a Supermicrosurgical Robot System for Sub-0.8mm Vessel Anastomosis through Human-Robot Autonomous Collaboration in Surgical Workflow Recognition
+- **Project Number:** RS-2024-00443054