LensID

数据类型：开放获取

数据来源：Ghamsarian et al.

创建时间：2021-09-21

数据集编号：No.12132

热度：

手术，眼科，视频，阶段，分割

CC BY-NC 4.0协议，非商业可用

Big-data节点

杨宇轩维护

详情

LensID数据集包含用于白内障手术视频中镜片检测研究的视频片段、镜片分割和瞳孔分割。数据集包含3个部分:

100个白内障手术视频的镜片植入阶段识别,包含2040个训练视频片段和360个测试视频片段。
401帧图像的镜片分割,包含292帧训练图像和109帧测试图像。
189帧图像的瞳孔分割,包含141帧训练图像和48帧测试图像。

数据集仅用于科研目的，不能用于商业或其他用途。使用时还需引用以下论文:

@inproceedings{DBLP:conf/miccai/GhamsarianTPSES21,
    author    = {Negin Ghamsarian and
                 Mario Taschwer and
                 Doris Putzgruber{-}Adamitsch and
                 Stephanie Sarny and
                 Yosuf El{-}Shabrawi and
                 Klaus Schoeffmann},
    editor    = {Marleen de Bruijne and
                 Philippe C. Cattin and
                 St{\'{e}}phane Cotin and
                 Nicolas Padoy and
                 Stefanie Speidel and
                 Yefeng Zheng and
                 Caroline Essert},
    title     = {LensID: {A} CNN-RNN-Based Framework Towards Lens Irregularity Detection
                 in Cataract Surgery Videos},
    booktitle = {Medical Image Computing and Computer Assisted Intervention - {MICCAI}
                 2021 - 24th International Conference, Strasbourg, France, September
                 27 - October 1, 2021, Proceedings, Part {VIII}},
    series    = {Lecture Notes in Computer Science},
    volume    = {12908},
    pages     = {76--86},
    publisher = {Springer},
    year      = {2021},
    url       = {https://doi.org/10.1007/978-3-030-87237-3\_8},
    doi       = {10.1007/978-3-030-87237-3\_8},
    timestamp = {Tue, 21 Dec 2021 17:19:23 +0100},
    biburl    = {https://dblp.org/rec/conf/miccai/GhamsarianTPSES21.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

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