Skip to content
DraconiticResearch
Search Sources API
194,220 studies31 sourcesUpdated 39 min ago
Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

Automated Segmentation of Mass Lesions in Mammography: Mask R-CNN Versus Classical Methods, Fuzzy Clustering and MedSAM

  • Marta Vicentini1
  • Martina Oria1
  • Eva Raina1
  • Manuela Durando2
  • Alessandra Manzin1
  1. 1Department of Advanced Materials Metrology and Life Sciences, (INRiM), 10135 Torino, Italy; (M.O.); (E.R.)
  2. 2Department of Diagnostic Imaging and Interventional Radiology, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy;
Read full textPDFCite

Related

  1. Development and internal validation of an interpretable mammography-based model for malignancy risk stratification in BI-RADS 4 breast lesions
    Yanheng Zhang, Nan Ding, Tingting Jiao +1
    Frontiers in OncologyPeer-reviewedCC BY 4.0Full textOncologyCrossrefDOAJ
  2. Automated thigh muscle segmentation using foundation models: validation and impact of segmentation quality
    Katharina Ziegeler, Gabrielle Hoyer, Felix Liu +7
    European radiology experimentalPeer-reviewedCC BYFull textMedical imaging & radiologyEurope PMC
  3. CT Ventricular Volume Reference Percentile Curves Using Automated nnU-Net Segmentation: A Study with LLM-Facilitated Cohort Selection
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. Automated corneal endothelial cell detection and segmentation in specular microscopy images using Attention and Faster U-Net
    Ashwini Ramchandra Doke, Suja Palaniswamy
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textMedical imaging & radiologyCrossref
  5. Automated Segmentation of Retinal Pigment Epithelium Layers in High-Resolution OCT
    Giulia Ritter, Ben Isselmann, Marlene Saßmannshausen +6
    Ophthalmology sciencePeer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{vicentini2026automated,
  title = {{Automated Segmentation of Mass Lesions in Mammography: Mask R-CNN Versus Classical Methods, Fuzzy Clustering and MedSAM}},
  author = {Marta Vicentini and Martina Oria and Eva Raina and Manuela Durando and Alessandra Manzin},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13702960},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Automated Segmentation of Mass Lesions in Mammography: Mask R-CNN Versus Classical Methods, Fuzzy Clustering and MedSAM
AU  - Marta Vicentini
AU  - Martina Oria
AU  - Eva Raina
AU  - Manuela Durando
AU  - Alessandra Manzin
PY  - 2026
DA  - 2026/10/01
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13702960
SN  - 2075-4418
ER  -