- [CNNcombineSVM)Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics(Artificial Intelligence Research and Development)[paper]
- [GLCM]Sources of Image Texture Variation in Tomographic Breast Imaging(SPIE Medical Imaging 2022)[paper]
- [DeepCNN]A deep learning classifier for digital breast tomosynthesis(Physica Medica)[paper]
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[VGG19with2Dsubvolumn]Breast Cancer Classification from Digital Breast Tomosynthesis Using a 3D Multi-Subvolume Approach(SPIE Medical Imaging 2020)[paper]
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[VGG19with3D]Performance Comparison of Different Loss Functions for Digital Breast Tomosynthesis Classification using 3D Deep Learning Model(SPIE Medical Imaging 2020)[paper]
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[MVCNNwith2D]SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans(arXiv)[paper]
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[CNNwith2D]2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification(2019 IEEE International Conference on BIBM)[paper]
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[CNNwith2Dand3D]Joint 2D-3D Breast Cancer Classification(2019 IEEE International Conference on BIBM)[paper]
- [DeepCNN]Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks(IEEE TRANSACTIONS ON NANOBIOSCIENCE)[paper]