deepMTJ test dataset

InstroductionThis dataset comprises 1344 images of muscle-tendon junctions recorded with 3 ultrasound imaging systems (Aixplorer V6, Esaote MyLab60, Telemed ArtUs), on 2 muscles (Lateral Gastrocnemius, Medial Gastrocnemius), and 2 movements (isometric maximum voluntary contractions, passive torque movements).

Detailed Info: https://osf.io/wgy4d

Repository Structure 2021_Unet_deepmtj_ieeetbme_model.tf: trained model weights of our network published in Leitner et al. 2021atestset_frames.h5: testset frames saved in an hdf5 file structure. The structure of the first frame corresponds to: ['testset_fullres/frame_0001'] and ['testset_256x128px/frame_0001'].
testset_frames.zip: jpg-images of testset frames in full resolution and in model input resolution (256x128px)
testset_frames_annotated.zip: expert annotated jpg-images of testset frames in full resolution and in model input resolution (256x128px)
testset_logic_labels.csv: logic array containing following information for each frame ['Frame Nr.', 'Instrument', 'Muscle', 'Movement', 'Expert X (fullres)', 'Expert Y (fullres)', 'Expert X (256x128px)', 'Expert Y (256x128px)']

数据集简介：本数据集包含1344张肌-腱连接点（muscle-tendon junctions）超声图像，采集自3台超声成像系统：Aixplorer V6、Esaote MyLab60及Telemed ArtUs，涉及2块肌肉——腓肠肌外侧头（Lateral Gastrocnemius）、腓肠肌内侧头（Medial Gastrocnemius），以及2种运动模式：等长最大自主收缩（isometric maximum voluntary contractions）、被动扭矩运动（passive torque movements）。
详细信息：https://osf.io/wgy4d

仓库文件结构说明如下：
2021_Unet_deepmtj_ieeetbme_model.tf：本团队于Leitner等人2021年发表的研究中所使用网络的训练模型权重。
atestset_frames.h5：以HDF5格式存储的测试集帧数据，首帧的目录结构对应为['testset_fullres/frame_0001']与['testset_256x128px/frame_0001']。
testset_frames.zip：包含测试集帧的JPG（JPEG）图像，涵盖全分辨率与模型输入分辨率（256×128像素）两种规格。
testset_frames_annotated.zip：包含经专家标注的测试集帧JPG（JPEG）图像，同样涵盖全分辨率与模型输入分辨率（256×128像素）两种规格。
testset_logic_labels.csv：逻辑标签CSV文件，其中包含每帧图像的如下信息：['Frame Nr.', 'Instrument', 'Muscle', 'Movement', 'Expert X (fullres)', 'Expert Y (fullres)', 'Expert X (256x128px)', 'Expert Y (256x128px)']