ArticleMedical sciences (Basel, Switzerland)2026
A Deep Learning Approach for Classifying Benign, Malignant, and Borderline Ovarian Tumors Using Convolutional Neural Networks and Generative Adversarial Networks.
Maria Giourga, Ioannis Petropoulos, Sofoklis Stavros, Anastasios Potiris, Kallirroi Goula, Efthalia Moustakli, Anthi-Maria Papahliou, Maria-Anastasia Daskalaki, Margarita Segou, Alexandros Rodolakis and 2 more
Abstract read
In one paragraphArticle in Medical sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Maria GiourgaFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.ORCID 0000-0001-7109-5818 Ioannis PetropoulosSchool of Electrical & Computer Engineering, National Technical University of Athens, 15772 Athens, Greece.
Sofoklis StavrosThird Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece.
Anastasios PotirisThird Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece.ORCID 0000-0001-7716-1521 Kallirroi GoulaDepartment of Pathology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.ORCID 0009-0001-1399-0301 Efthalia MoustakliDepartment of Nursing, School of Health Sciences, University of Ioannina, 45500 Ioannina, Greece.ORCID 0009-0005-3333-2620 Anthi-Maria PapahliouFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.
Maria-Anastasia DaskalakiFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.
Margarita SegouBritish Geological Survey, The Lyell Centre, Research Avenue South, Edinburgh EH14 4AP, UK.
Alexandros RodolakisFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.
George DaskalakisFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.ORCID 0000-0001-7108-211X Ekaterini DomaliFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.ORCID 0000-0001-8899-3040 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Convolutional Neural NetworksDeep LearningGenerative Adversarial NetworksImage Interpretation, Computer-AssistedOvarian NeoplasmsFemaleHumansRetrospective StudiesUltrasonographyartificial intelligencedeep convolutional generative adversarial network (DCGAN)deep learningovarian cancerovarian massultrasound imaging
Identifiers
PMID41718136
PMCPMC12922122
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390