-
Loading metrics
Open Access
Peer-reviewed
Research Article
Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images
-
José Martínez-Más ,
Contributed equally to this work with: José Martínez-Más, Andrés Bueno-Crespo, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán
Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Project administration, Validation, Visualization, Writing – original draft
* E-mail: jmartinezmas@sego.es
Affiliations Department of Obstetrics and Gynecology, Virgen de la Arrixaca University Clinic Hospital, Murcia, Spain, Health Sciences PhD program, Universidad Católica de Murcia UCAM, Murcia, Spain
⨯ -
Andrés Bueno-Crespo ,
Contributed equally to this work with: José Martínez-Más, Andrés Bueno-Crespo, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán
Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft
Affiliation Department of Computer Science, Catholic University of Murcia (UCAM), Murcia, Spain
⨯ -
Shan Khazendar ,
Roles Data curation, Resources, Supervision
¶‡These authors contributed equally to this work.
Affiliation Department of Administration and Economics, University of Sulaimani, Kurdistan, Iraq
⨯ -
Manuel Remezal-Solano ,
Contributed equally to this work with: José Martínez-Más, Andrés Bueno-Crespo, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán
Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Writing – original draft
Affiliations Department of Obstetrics and Gynecology, Virgen de la Arrixaca University Clinic Hospital, Murcia, Spain, Department of Medicine; Obstetrics and Gynecology, Catholic University of Murcia (UCAM), Murcia, Spain
⨯ -
Juan-Pedro Martínez-Cendán ,
Contributed equally to this work with: José Martínez-Más, Andrés Bueno-Crespo, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán
Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Writing – original draft
Affiliations Department of Medicine; Obstetrics and Gynecology, Catholic University of Murcia (UCAM), Murcia, Spain, Department of Obstetrics and Gynecology, Santa Lucía University General Hospital, Cartagena, Spain
⨯ -
Sabah Jassim ,
Roles Data curation, Resources, Supervision, Writing – review & editing
¶‡These authors contributed equally to this work.
Affiliation Department of Applied Computing, Buckingham University, Buckingham, United Kingdom
⨯ -
Hongbo Du ,
Roles Data curation, Resources, Supervision, Writing – review & editing
¶‡These authors contributed equally to this work.
Affiliation Department of Applied Computing, Buckingham University, Buckingham, United Kingdom
⨯ -
Hisham Al Assam ,
Roles Data curation, Resources, Supervision, Writing – review & editing
¶‡These authors contributed equally to this work.
Affiliation Department of Applied Computing, Buckingham University, Buckingham, United Kingdom
⨯ -
Tom Bourne ,
Roles Data curation, Resources, Supervision, Writing – review & editing
¶‡These authors contributed equally to this work.
Affiliations Department of Cancer and Surgery, Queen Charlotte’s and Chelsea Hospital, Imperial College, London, United Kingdom, Department of Development and Regeneration; Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, Belgium
⨯ -
Dirk Timmerman
Roles Data curation, Resources, Supervision, Writing – review & editing
¶‡These authors contributed equally to this work.
Affiliation Department of Development and Regeneration; Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, Belgium
⨯
Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images
- José Martínez-Más,
- Andrés Bueno-Crespo,
- Shan Khazendar,
- Manuel Remezal-Solano,
- Juan-Pedro Martínez-Cendán,
- Sabah Jassim,
- Hongbo Du,
- Hisham Al Assam,
- Tom Bourne,
- Dirk Timmerman
- Published: July 26, 2019
- https://doi.org/10.1371/journal.pone.0219388