OmniMedSeg-Ultrasound

Researchers with interest in classification, detection, and segmentation of breast cancer can utilize this data of breast ultrasound images, combine it with others' datasets, and analyze them for further insights. Dataset link: scholar.cu.edu.eg/?q=afahmy/pages/dataset Metadata file: Ultrasound/BUSI/metadata.json Citation (bibtex): @article{al2020dataset, title={Dataset of breast ultrasound images}, author={Al-Dhabyani, Walid and Gomaa, Mohammed and Khaled, Hussien and Fahmy, Aly}, journal={Data in brief}, volume={28}, pages={104863}, year={2020}, publisher={Elsevier} } ---------------------------------------- [3] BUS_BRA ---------------------------------------- License: CC-BY 4.0 Dataset link: zenodo.org/records/8231412 Metadata file: Ultrasound/BUS_BRA/metadata.json Citation (bibtex): @article{gomez2024bus, title={BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems}, author={G{\'o}mez-Flores, Wilfrido and Gregorio-Calas, Maria Julia and Coelho de Albuquerque Pereira, Wagner}, journal={Medical physics}, volume={51}, number={4}, pages={3110--3123}, year={2024}, publisher={Wiley Online Library} } ---------------------------------------- [4] BUS_UCLM ---------------------------------------- License: CC-BY-NC 4.0 Dataset link: data.mendeley.com/datasets/7fvgj4jsp7/2 Metadata file: Ultrasound/BUS_UCLM/metadata.json Citation (bibtex): @data{Vallez2024BUSUCLM, author = {Vallez, Noelia and Bueno, Gloria and Deniz, Oscar and Rienda, Miguel Angel and Pastor, Carlos}, title = {{BUS-UCLM: Breast ultrasound lesion segmentation dataset}}, year = 2024, version = {V2}, publisher = {Mendeley Data}, doi = {10.17632/7fvgj4jsp7.2}, url = {doi.org/10.17632/7fvgj4jsp7.2} } ---------------------------------------- [5] DDTI ---------------------------------------- License: "available for immediate download for research" " The access to the dataset is open and the user can download the cases" Dataset link: cimalab.unal.edu.co/projects/detail/20/ Metadata file: Ultrasound/DDTI/metadata.json Citation (bibtex): @inproceedings{pedraza2015open, title={An open access thyroid ultrasound image database}, author={Pedraza, Lina and Vargas, Carlos and Narv{\'a}ez, Fabi{\'a}n and Dur{\'a}n, Oscar and Mu{\~n}oz, Emma and Romero, Eduardo}, booktitle={10th International symposium on medical information processing and analysis}, volume={9287}, pages={188--193}, year={2015}, organization={SPIE} } ---------------------------------------- [6] FASS ---------------------------------------- License: CC-BY 4.0 Dataset link: data.mendeley.com/datasets/4gcpm9dsc3/1 Metadata file: Ultrasound/FASS/metadata.json Citation (bibtex): @data{DaCorreggio2023Fetal, author = {Da Correggio, Karine Souza and Noya Galluzzo, Roberto and Santos, Luís Otávio and Soares Muylaert Barroso, Felipe and Zimmermann Loureiro Chaves, Thiago and Sherlley Casimiro Onofre, Alexandre and von Wangenheim, Aldo}, title = {Fetal Abdominal Structures Segmentation Dataset Using Ultrasonic Images}, year = 2023, version = {V1}, publisher = {Mendeley Data}, doi = {10.17632/4gcpm9dsc3.1}, url = {doi.org/10.17632/4gcpm9dsc3.1} } ---------------------------------------- [7] HC18 ---------------------------------------- License: CC-BY 4.0 Dataset link: zenodo.org/records/1327317 Metadata file: Ultrasound/HC18/metadata.json Citation (bibtex): @article{van2018automated, title={Automated measurement of fetal head circumference using 2D ultrasound images}, author={van den Heuvel, Thomas LA and de Bruijn, Dagmar and de Korte, Chris L and Ginneken, Bram van}, journal={PloS one}, volume={13}, number={8}, pages={e0200412}, year={2018}, publisher={Public Library of Science San Francisco, CA USA} } ---------------------------------------- [8] MMOTU ---------------------------------------- License: CC-BY 4.0 Dataset link: figshare.com/articles/dataset/_zip/25058690?file=44222642 Metadata file: Ultrasound/MMOTU/metadata.json Citation (bibtex): @article{Li2024, author = "Lang Li", title = "{MMOTU dataset}", year = "2024", month = "1", url = "figshare.com/articles/dataset/_zip/25058690", doi = "10.6084/m9.figshare.25058690.v2" } ---------------------------------------- [9] MUSCLE_US ---------------------------------------- License: CC-BY 4.0 Source: 'license' field Dataset link: data.mendeley.com/datasets/3jykz7wz8d/1 Metadata file: Ultrasound/MUSCLE_US/metadata.json Citation (bibtex): @article{marzola2021deep, title={Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment}, author={Marzola, Francesco and Van Alfen, Nens and Doorduin, Jonne and Meiburger, Kristen M}, journal={Computers in biology and medicine}, volume={135}, pages={104623}, year={2021}, publisher={Elsevier} } ---------------------------------------- [10] OASBUD ---------------------------------------- License: CC-BY-NC 4.0 Dataset link: zenodo.org/records/545928 Metadata file: Ultrasound/OASBUD/metadata.json Citation (bibtex): @article{piotrzkowska2017open, title={Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions}, author={Piotrzkowska-Wr{\'o}blewska, Hanna and Dobruch-Sobczak, Katarzyna and Byra, Micha{\l} and Nowicki, Andrzej}, journal={Medical physics}, volume={44}, number={11}, pages={6105--6109}, year={2017}, publisher={Wiley Online Library} } ---------------------------------------- [11] PSFHS ---------------------------------------- License: CC BY 4.0 Dataset link: zenodo.org/records/7851339#.ZEH6eHZBztU Metadata file: Ultrasound/PSFHS/metadata.json Citation (bibtex): @dataset{Jieyun2023PubicSymphysis, author = {Jieyun, B. and ZhanHong, O.}, title = {Pubic Symphysis-Fetal Head Segmentation and Angle of Progression}, year = 2023, version = {v1}, publisher = {Zenodo}, doi = {10.5281/zenodo.7851339}, url = {doi.org/10.5281/zenodo.7851339} } ---------------------------------------- [12] TG3K ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: github.com/haifangong/TRFE-Net-for-thyroid-nodule-segmentation Metadata file: Ultrasound/TG3K/metadata.json Citation (bibtex): @article{gong2023thyroid, title={Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules}, author={Gong, Haifan and Chen, Jiaxin and Chen, Guanqi and Li, Haofeng and Li, Guanbin and Chen, Fei}, journal={Computers in biology and medicine}, volume={155}, pages={106389}, year={2023}, publisher={Elsevier} } ---------------------------------------- [13] TN3K ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: github.com/haifangong/TRFE-Net-for-thyroid-nodule-segmentation Metadata file: Ultrasound/TN3K/metadata.json Citation (bibtex): @article{gong2023thyroid, title={Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules}, author={Gong, Haifan and Chen, Jiaxin and Chen, Guanqi and Li, Haofeng and Li, Guanbin and Chen, Fei}, journal={Computers in biology and medicine}, volume={155}, pages={106389}, year={2023}, publisher={Elsevier} } ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required