Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 55 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Brain tumor segmentation using particle swarm optimized histogram equalization and a VGG19 based U-Net

Versions

Related

  1. Brain tumor segmentation using a combination of graph cut and optimized U-Net with genetic algorithm: An efficient hybrid framework for enhanced medical image analysis
    Reem M. Mostafa, Emad Mabrouk, Mohamed Saed Salim +2
    PLOS OnePeer-reviewedCC BY 4.0Full textMedical imaging & radiologyOncologyPLOS
  2. Predicting brain tumours through transfer learning and optimized hyperparameters using the modified whale’s algorithm
    Sivani Pinnaboina, Venkata Sowmya Kambhampati, Kodanda Rama Sastry Jammalamadaka +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textNeurologyCrossref
  3. Multi-task deep learning framework for brain tumor classification and segmentation using ensemble feature extraction
    Retinderdeep Singh, Chander Prabha, Shahab Abdulla
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textNeurologyCrossref
  4. AMF-U-Net: an adaptive multimodal fusion residual attention 3D U-Net for boundary-aware brain tumour segmentation
    A. Anushya, Rasha Almarshdi, Bedour Alrashidi +3
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textNeurologyCrossref
  5. Hybrid feature pyramid attention and capsule network (FpaNet+CapsNet) for enhanced spatial and contextual feature extraction for improved brain tumor segmentation
    Eman Abdullah Aldakheel, Mohammed Zakariah, Syed Umar Amin +3
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0NeurologyCrossref
BibTeX
@article{saifullah2026brain,
  title = {{Brain tumor segmentation using particle swarm optimized histogram equalization and a VGG19 based U-Net}},
  author = {Shoffan Saifullah and Rafał Dreżewski},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-72923-y},
  url = {https://www.nature.com/articles/s41598-026-72923-y},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Brain tumor segmentation using particle swarm optimized histogram equalization and a VGG19 based U-Net
AU  - Shoffan Saifullah
AU  - Rafał Dreżewski
PY  - 2026
DA  - 2026/10/07
JO  - Scientific Reports
DO  - 10.1038/s41598-026-72923-y
UR  - https://www.nature.com/articles/s41598-026-72923-y
SN  - 2045-2322
ER  -