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For: Ilhan A, Sekeroglu B, Abiyev R. Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net. Int J CARS. [DOI: 10.1007/s11548-022-02566-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Hao D, Li H. A graph‐based edge attention gate medical image segmentation method. IET Image Processing 2023. [DOI: 10.1049/ipr2.12780] [Reference Citation Analysis]
2 Zhou T, Ruan S, Hu H. A literature survey of MR-based brain tumor segmentation with missing modalities. Comput Med Imaging Graph 2023;104:102167. [PMID: 36584536 DOI: 10.1016/j.compmedimag.2022.102167] [Reference Citation Analysis]
3 Sahli H, Ben Slama A, Zeraii A, Labidi S, Sayadi M. ResNet-SVM: Fusion based glioblastoma tumor segmentation and classification. J Xray Sci Technol 2023;31:27-48. [PMID: 36278391 DOI: 10.3233/XST-221240] [Reference Citation Analysis]
4 Ilhan A, Alpan K, Sekeroglu B, Abiyev R. COVID-19 Lung CT image segmentation using localization and enhancement methods with U-Net. Procedia Comput Sci 2023;218:1660-7. [PMID: 36743788 DOI: 10.1016/j.procs.2023.01.144] [Reference Citation Analysis]
5 Wang L, Yu L, Zhu J, Tang H, Gou F, Wu J. Auxiliary Segmentation Method of Osteosarcoma in MRI Images Based on Denoising and Local Enhancement. Healthcare 2022;10:1468. [DOI: 10.3390/healthcare10081468] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Ramaraj K, Govindaraj V, Zhang Y, Rajasekaran Murugan P, Wang S, Thiyagarajan A, Sankaran S. Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology. Biomedical Signal Processing and Control 2022;77:103786. [DOI: 10.1016/j.bspc.2022.103786] [Reference Citation Analysis]
7 Zeineldin RA, Karar ME, Elshaer Z, Coburger J, Wirtz CR, Burgert O, Mathis-Ullrich F. Explainability of deep neural networks for MRI analysis of brain tumors. Int J Comput Assist Radiol Surg 2022. [PMID: 35460019 DOI: 10.1007/s11548-022-02619-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]