Research graph
References from Breast carcinoma subtypes classification using bi-static microwave imaging and fractional Fourier transform based signal analysis with EfficientNetV2-L classifier. Local targets link to admitted publications; unresolved targets remain external evidence.
Review of breast screening: Toward clinical realization of microwave imaging
10.1002/mp.12611 · 2017 · External reference
Microwave breast imaging: Clinical advances and remaining challenges
10.1109/tbme.2018.2809541 · 2018 · External reference
Microwave imaging methodologies for breast cancer detection and their progress with deep learning
2026 · External reference
Dielectric properties of breast carcinoma and the surrounding tissues
10.1109/10.1374 · 1988 · External reference
Dielectric characterization of ex-vivo breast tissues: Differentiation of tumor types through permittivity measurements
10.3390/cancers16040793 · 2024 · External reference
Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique
10.1007/s12553-021-00592-0 · 2021 · External reference
The prognosis of invasive ductal carcinoma, lobular carcinoma and mixed ductal and lobular carcinoma according to molecular subtypes of the breast
10.1007/s12282-020-01146-4 · 2021 · External reference
Invasive lobular carcinoma with extracellular mucin: Not all mucinous mammary carcinomas are ductal!
10.1177/1066896918788660 · 2018 · External reference
10.1016/j.acra.2022.12.001
10.1016/j.acra.2022.12.001 · External reference
Dielectric characterization of breast biopsied tissues as pre-pathological aid in early cancer detection: A blinded feasibility study
10.3390/diagnostics13183015 · 2023 · External reference
Electromagnetic characterization of breast tissue phantoms in D-band regime
10.1109/jerm.2021.3078645 · 2022 · External reference
Diagnosis of breast malignancy with microwave breast imaging method and utilizing EfficientNet-B4 deep learning model
2025 · External reference
Detection and localization of breast cancer using UWB microwave technology and CNN-LSTM framework
10.1109/tmtt.2022.3209679 · 2022 · External reference
Breast tissue tumor detection using “S” parameter analysis with an UWB stacked aperture coupled microstrip patch antenna having a “+” shaped defected ground structure
10.1017/s1759078719001442 · 2020 · External reference
Flexible dual-polarized UWB antenna sensors for breast tumor detection
10.1109/jsen.2022.3180356 · 2022 · External reference
Detection of malignant breast tissue using SAR observation with microwave imaging and convolutional neural network
2024 · External reference
A review on microwave imaging systems for breast cancer detection
10.1109/access.2024.3516762 · 2024 · External reference
10.1109/isap62502.2024.10845955
10.1109/isap62502.2024.10845955 · External reference
Enhancement in dry setup of microwave breast imaging based on delay estimation and channel fidelity
2025 · External reference
Gabor-based spectral domain automated notch-reject filter for quasi-periodic noise reduction from digital images
10.1007/s11042-018-6194-z · 2019 · External reference
Design of a Gabor filter HW accelerator for applications in medical imaging
10.1109/tcpmt.2018.2818947 · 2018 · External reference
De-noising algorithm for enhancing microwave imaging
10.1049/joe.2016.0207 · 2017 · External reference
The fractional Fourier transform as a biomedical signal and image processing tool: A review
10.1016/j.bbe.2020.05.004 · 2020 · External reference
The fractional Fourier transform and time-frequency representations
10.1109/78.330368 · 1994 · External reference
Frequency sinogram based cancer recognition via convolutional neural network for microwave breast cancer diagnosis
10.23919/transcom.2024ebp3146 · 2025 · External reference
Detection of breast cancer using fractional discrete sinc transform based on empirical fourier decomposition
10.1177/09592989251351608 · 2025 · External reference
A novel fractional wavelet transform and its applications
10.1007/s11432-011-4320-x · 2012 · External reference
The application of fractional wavelet transform in image enhancement
2019 · External reference
Fractional wavelet scattering network and applications
10.1109/tbme.2018.2850356 · 2019 · External reference
Computer-aided diagnosis of abnormal breasts in mammogram images by weighted-type fractional Fourier transform
10.1177/1687814016634243 · 2016 · External reference
Fractional wavelet transform based diagnostic system for brain tumor detection in MR imaging
10.1002/ima.22497 · 2021 · External reference
Breast cancer mass detection in DCE–MRI using deep-learning features followed by discrimination of infiltrative vs. in situ carcinoma through a machine-learning approach
10.3390/app10176109 · 2020 · External reference
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
10.1186/s12880-023-00964-0 · 2023 · External reference
TransBreastNet a CNN transformer hybrid deep learning framework for breast cancer subtype classification and temporal lesion progression analysis
10.1038/s41598-025-19173-6 · 2025 · External reference
Discrimination of life-threatening arrhythmias using self-adaptive VMD, RQA techniques and EfficientNetV2-L classifier
2025 · External reference
Automatic detection of breast cancer for mastectomy based on MRI images using mask R-CNN and Detectron2 models
10.1007/s00521-023-09237-x · 2024 · External reference
Leveraging synthetic mammograms to enhance deep-learning performance for breast cancer classification using EfficientNetV2L architecture
2025 · External reference
Fault diagnosis and initial alignment of redundant SINS under large misalignment angle
10.1109/tii.2026.3670431 · 2026 · External reference
Federated learning-based offset-free distributed control of nonlinear networked systems with application to IIoT
10.1109/tnse.2025.3540643 · 2025 · External reference
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing
10.1016/j.bspc.2020.102341 · 2021 · External reference
Fractional wavelet transform based diagnostic system for brain tumor detection in MR imaging
10.1002/ima.22497 · ExternalCitation · doi-reference
Review of breast screening: Toward clinical realization of microwave imaging
10.1002/mp.12611 · ExternalCitation · doi-reference
Automatic detection of breast cancer for mastectomy based on MRI images using mask R-CNN and Detectron2 models
10.1007/s00521-023-09237-x · ExternalCitation · doi-reference
Gabor-based spectral domain automated notch-reject filter for quasi-periodic noise reduction from digital images
10.1007/s11042-018-6194-z · ExternalCitation · doi-reference
A novel fractional wavelet transform and its applications
10.1007/s11432-011-4320-x · ExternalCitation · doi-reference
The prognosis of invasive ductal carcinoma, lobular carcinoma and mixed ductal and lobular carcinoma according to molecular subtypes of the breast
10.1007/s12282-020-01146-4 · ExternalCitation · doi-reference
Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique
10.1007/s12553-021-00592-0 · ExternalCitation · doi-reference
10.1016/j.acra.2022.12.001
10.1016/j.acra.2022.12.001 · ExternalCitation · doi-reference
The fractional Fourier transform as a biomedical signal and image processing tool: A review
10.1016/j.bbe.2020.05.004 · ExternalCitation · doi-reference
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing
10.1016/j.bspc.2020.102341 · ExternalCitation · doi-reference
Breast tissue tumor detection using “S” parameter analysis with an UWB stacked aperture coupled microstrip patch antenna having a “+” shaped defected ground structure
10.1017/s1759078719001442 · ExternalCitation · doi-reference
TransBreastNet a CNN transformer hybrid deep learning framework for breast cancer subtype classification and temporal lesion progression analysis
10.1038/s41598-025-19173-6 · ExternalCitation · doi-reference
De-noising algorithm for enhancing microwave imaging
10.1049/joe.2016.0207 · ExternalCitation · doi-reference
Dielectric properties of breast carcinoma and the surrounding tissues
10.1109/10.1374 · ExternalCitation · doi-reference
The fractional Fourier transform and time-frequency representations
10.1109/78.330368 · ExternalCitation · doi-reference
A review on microwave imaging systems for breast cancer detection
10.1109/access.2024.3516762 · ExternalCitation · doi-reference
10.1109/isap62502.2024.10845955
10.1109/isap62502.2024.10845955 · ExternalCitation · doi-reference
Electromagnetic characterization of breast tissue phantoms in D-band regime
10.1109/jerm.2021.3078645 · ExternalCitation · doi-reference
Flexible dual-polarized UWB antenna sensors for breast tumor detection
10.1109/jsen.2022.3180356 · ExternalCitation · doi-reference
Microwave breast imaging: Clinical advances and remaining challenges
10.1109/tbme.2018.2809541 · ExternalCitation · doi-reference
Fractional wavelet scattering network and applications
10.1109/tbme.2018.2850356 · ExternalCitation · doi-reference
Design of a Gabor filter HW accelerator for applications in medical imaging
10.1109/tcpmt.2018.2818947 · ExternalCitation · doi-reference
Fault diagnosis and initial alignment of redundant SINS under large misalignment angle
10.1109/tii.2026.3670431 · ExternalCitation · doi-reference
Detection and localization of breast cancer using UWB microwave technology and CNN-LSTM framework
10.1109/tmtt.2022.3209679 · ExternalCitation · doi-reference
Federated learning-based offset-free distributed control of nonlinear networked systems with application to IIoT
10.1109/tnse.2025.3540643 · ExternalCitation · doi-reference
Detection of breast cancer using fractional discrete sinc transform based on empirical fourier decomposition
10.1177/09592989251351608 · ExternalCitation · doi-reference
Invasive lobular carcinoma with extracellular mucin: Not all mucinous mammary carcinomas are ductal!
10.1177/1066896918788660 · ExternalCitation · doi-reference
Computer-aided diagnosis of abnormal breasts in mammogram images by weighted-type fractional Fourier transform
10.1177/1687814016634243 · ExternalCitation · doi-reference
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
10.1186/s12880-023-00964-0 · ExternalCitation · doi-reference
Frequency sinogram based cancer recognition via convolutional neural network for microwave breast cancer diagnosis
10.23919/transcom.2024ebp3146 · ExternalCitation · doi-reference
Breast cancer mass detection in DCE–MRI using deep-learning features followed by discrimination of infiltrative vs. in situ carcinoma through a machine-learning approach
10.3390/app10176109 · ExternalCitation · doi-reference
Dielectric characterization of ex-vivo breast tissues: Differentiation of tumor types through permittivity measurements
10.3390/cancers16040793 · ExternalCitation · doi-reference
Dielectric characterization of breast biopsied tissues as pre-pathological aid in early cancer detection: A blinded feasibility study
10.3390/diagnostics13183015 · ExternalCitation · doi-reference
