Related references
Note: Only part of the references are listed.Cancer-related Fatigue in Breast Cancer Survivors: A Review
Ana Ruiz-Casado et al.
CLINICAL BREAST CANCER (2021)
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
Aditya Khamparia et al.
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING (2021)
Global incidence and mortality of breast cancer: a trend analysis
Junjie Huang et al.
Aging-US (2021)
Qualitative exploration of sexual life among breast cancer survivors at reproductive age
Maryam Maleki et al.
BMC WOMENS HEALTH (2021)
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review
Jun Bai et al.
MEDICAL IMAGE ANALYSIS (2021)
Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
Ghulam Murtaza et al.
ARTIFICIAL INTELLIGENCE REVIEW (2020)
The evolution of sentinel node biopsy for breast cancer: Personal experience
Armando E. Giuliano
BREAST JOURNAL (2020)
Challenges and achievements of liquid biopsy technologies employed in early breast cancer
Alfonso Alba-Bernal et al.
EBIOMEDICINE (2020)
Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer
Lei Cong et al.
JOURNAL OF CANCER (2020)
False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases
Dasheng Li et al.
KOREAN JOURNAL OF RADIOLOGY (2020)
Multiple instance learning for histopathological breast cancer image classification
P. J. Sudharshan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm
Richard Ha et al.
JOURNAL OF DIGITAL IMAGING (2019)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)