Feasibility of Using Improved Convolutional Neural Network to Classify BI-RADS 4 Breast Lesions: Compare Deep Learning Features of the Lesion Itself and the Minimum Bounding Cube of Lesion

Meihong Sheng, Weixia Tang, Jiahuan Tang, Ming Zhang, Shenchu Gong, Wei Xing. Feasibility of Using Improved Convolutional Neural Network to Classify BI-RADS 4 Breast Lesions: Compare Deep Learning Features of the Lesion Itself and the Minimum Bounding Cube of Lesion. Wireless Communications and Mobile Computing, 2021, 2021. [doi]

@article{ShengTTZGX21,
  title = {Feasibility of Using Improved Convolutional Neural Network to Classify BI-RADS 4 Breast Lesions: Compare Deep Learning Features of the Lesion Itself and the Minimum Bounding Cube of Lesion},
  author = {Meihong Sheng and Weixia Tang and Jiahuan Tang and Ming Zhang and Shenchu Gong and Wei Xing},
  year = {2021},
  doi = {10.1155/2021/4430886},
  url = {https://doi.org/10.1155/2021/4430886},
  researchr = {https://researchr.org/publication/ShengTTZGX21},
  cites = {0},
  citedby = {0},
  journal = {Wireless Communications and Mobile Computing},
  volume = {2021},
}