Review of Breast Cancer Pathologigcal Image Processing
| Autor: | Ben-Li Wei, Ke-Rui Xia, Ya-Nan Zhang, Chang-Yi Li, Bing Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Computer science Image registration Breast Neoplasms Image processing Review Article General Biochemistry Genetics and Molecular Biology Breast cancer Image Processing Computer-Assisted medicine Humans Medical physics skin and connective tissue diseases Image fusion General Immunology and Microbiology business.industry Deep learning Supervised learning General Medicine Image segmentation medicine.disease Medicine Unsupervised learning Female Artificial intelligence business |
| Zdroj: | BioMed Research International, Vol 2021 (2021) BioMed Research International |
| ISSN: | 2314-6141 2314-6133 |
| Popis: | Breast cancer is one of the most common malignancies. Pathological image processing of breast has become an important means for early diagnosis of breast cancer. Using medical image processing to assist doctors to detect potential breast cancer as early as possible has always been a hot topic in the field of medical image diagnosis. In this paper, a breast cancer recognition method based on image processing is systematically expounded from four aspects: breast cancer detection, image segmentation, image registration, and image fusion. The achievements and application scope of supervised learning, unsupervised learning, deep learning, CNN, and so on in breast cancer examination are expounded. The prospect of unsupervised learning and transfer learning for breast cancer diagnosis is prospected. Finally, the privacy protection of breast cancer patients is put forward. |
| Databáze: | OpenAIRE |
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