Nephrec9

Description

"Nephrec9" dataset contains images of 14 steps of the Robot-Assisted Partial Nephrectomy (RAPN) procedure. “Nephrec9” dataset is developed from 9 full video annotations of RAPN which was annotated by an expert renal surgeon. Extracted videos were divided into small videos of 30 seconds or 720 frames, processed at 24 FPS. We extracted a total of 1262 videos, out of which we used 769 (approx. 60%) for training, 372 (approx. 30%) for the validation and 121 (approx. 10%) for testing.   We have provided images of the following RAPN steps:  Mobilization Dissection Identification Ultrasound Marking Clamping Resection Midollar suturing Cortical suturing Unclamping Inspection Removal Reconstruction Drainage If you use this dataset in your research or to know more about the dataset, kindly please contact to Hirenkumar Nakawala at hirenkmar.nakawala@polimi.it. Kindly please inform Dr. Hiren Nakawala if you download this dataset - thank you. We will upload some tools to process this dataset easily. If you want to know more about the dataset or have any confusions, please let us know. To know more about this research, please see the manuscript:  “Deep-Onto” network for surgical workflow and context recognition, IJCARS, Nov 2018. Link: https://link.springer.com/article/10.1007/s11548-018-1882-8

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-1066831
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-1066831

Tags

  • deep-learning,-knowledge-representation,-robot-assisted-partial-nephrectomy,-surgical-step,-phase-recognition,-surgical-workflow

Topics

Categories