|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Polycystic Ovary Ultrasound Images Dataset |
|
Identification Number: |
doi:10.34820/FK2/QVCP6V |
|
Distributor: |
Root |
|
Date of Distribution: |
2021-03-04 |
|
Version: |
1 |
|
Bibliographic Citation: |
Adiwijaya; NOVIA WISESTY, UNTARI; Widi Astuti, 2021, "Polycystic Ovary Ultrasound Images Dataset", https://doi.org/10.34820/FK2/QVCP6V, Root, V1 |
|
Citation |
|
|
Title: |
Polycystic Ovary Ultrasound Images Dataset |
|
Identification Number: |
doi:10.34820/FK2/QVCP6V |
|
Authoring Entity: |
Adiwijaya (Telkom University) |
|
NOVIA WISESTY, UNTARI (Telkom University) |
|
|
Widi Astuti (Telkom University) |
|
|
Distributor: |
Root |
|
Access Authority: |
NOVIA WISESTY, UNTARI |
|
Depositor: |
NOVIA WISESTY, UNTARI |
|
Date of Deposit: |
2021-03-04 |
|
Study Scope |
|
|
Keywords: |
Computer and Information Science, Medicine, Health and Life Sciences, Polycystic Ovary (PCO), Polycystic Ovary Syndrome (PCOS), Ultrasound Images |
|
Abstract: |
This dataset contains ultrasound images of patients suffering from Polycystic Ovary Syndrome (PCOS) and normal patients. Each image in the dataset has been categorized into PCOS and Normal classes, which are annotations from specialist doctors. |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Notes: |
CC0 Waiver |
|
Other Study Description Materials |
|
|
Related Publications |
|
|
Citation |
|
|
Identification Number: |
https://doi.org/10.3844/jcssp.2018.351.359 |
|
Bibliographic Citation: |
Study of Segmentation Technique and Stereology to Detect PCO Follicles on USG Images |
|
Citation |
|
|
Identification Number: |
https://doi.org/10.1088/1742-6596/622/1/012027 |
|
Bibliographic Citation: |
Follicle Detection on the USG Images to Support Determination Polycystic Ovary Syndrome |
|
Citation |
|
|
Identification Number: |
https://doi.org/10.1007/978-3-319-51281-5_15 |
|
Bibliographic Citation: |
Modified Backpropagation Algorithm for Polycystic Ovary Syndrome Detection Based on Ultrasound Images |
|
Citation |
|
|
Identification Number: |
https://doi.org/10.1088/1742-6596/971/1/012016 |
|
Bibliographic Citation: |
An Implementation of Elman Neural Network for Polycystic Ovary Classification based on Ultrasound Images |
|
Citation |
|
|
Identification Number: |
https://doi.org/10.1088/1742-6596/971/1/012005 |
|
Bibliographic Citation: |
Classification of Polycystic Ovary based on Ultrasound Images using Competitive Neural Network |
|
Citation |
|
|
Identification Number: |
10.1109/ICoICT.2015.7231458 |
|
Bibliographic Citation: |
A classification of polycystic Ovary Syndrome based on follicle detection of ultrasound images |
|
Citation |
|
|
Identification Number: |
10.1109/ICoICT.2015.7231453 |
|
Bibliographic Citation: |
Particle swarm optimization on follicles segmentation to support PCOS detection |
|
Label: |
normal_10.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_11.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_12.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_13.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_14.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_15.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_16.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_17.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_18.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_19.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_1.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_20.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_21.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_22.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_23.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_24.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_25.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_26.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_27.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_28.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_29.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_2.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_30.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_31.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_32.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_33.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_34.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_35.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_36.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_37.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_38.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_39.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_3.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_40.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_4.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_5.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_6.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_7.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_8.jpg |
|
Notes: |
image/jpeg |
|
Label: |
normal_9.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_10.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_11.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_12.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_13.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_14.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_1.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_2.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_3.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_4.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_5.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_6.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_7.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_8.jpg |
|
Notes: |
image/jpeg |
|
Label: |
pco_9.jpg |
|
Notes: |
image/jpeg |