Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks

[NeroCube]

https://arxiv.org/pdf/1807.04355.pdf

[NeroCube]

Data Collection and Description

Prior to this research, a dataset of 1,335 smartphone wound images was collected primarily from patients and surgeons at the Palo Alto VA Hospital and the Washington University Medical Center in St. Louis. The dataset also includes images from searching the internet to counteract class imbalance. All images were anonymized and cropped into identical squares.

在此研究之前，主要從患者和醫生那裡收集了1,335個智能手機傷口圖像的數據集 在帕洛阿爾托VA醫院和聖路易斯華盛頓大學醫學中心。 數據集還包括通過搜索互聯網來抵消班級失衡的圖像。 所有圖像均被匿名化並裁剪為相同的正方形。

[johnnycleiton07]

Data Collection and Description

Prior to this research, a dataset of 1,335 smartphone wound images was collected primarily from patients and surgeons at the Palo Alto VA Hospital and the Washington University Medical Center in St. Louis. The dataset also includes images from searching the internet to counteract class imbalance. All images were anonymized and cropped into identical squares.

在此研究之前，主要從患者和醫生那裡收集了1,335個智能手機傷口圖像的數據集 在帕洛阿爾托VA醫院和聖路易斯華盛頓大學醫學中心。 數據集還包括通過搜索互聯網來抵消班級失衡的圖像。 所有圖像均被匿名化並裁剪為相同的正方形。

Hello, Nero. I am currently working on research at the Computing Institute of the Federal University of Pernambuco (Brazil) that aims to analyze and classify post-surgical images of wounds. I believe that the dataset used in this work can contribute a lot to mine.

Would it be possible for you to share it with me? I'll be very grateful!