Classification on Digital Pathological Images of Breast Cancer Based on Deep Features of Different Levels

Review Oncology

Cancer-related Fatigue in Breast Cancer Survivors: A Review

Ana Ruiz-Casado et al.

Summary: Fatigue is a common and serious symptom in breast cancer survivors after treatment, affecting younger, obese, and diabetic women more severely. Fatigue is closely related to symptoms such as pain, depression, insomnia, and cognitive dysfunction. Awareness and management of fatigue are crucial as it significantly impacts the quality of life of survivors.

CLINICAL BREAST CANCER (2021)

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Article Computer Science, Theory & Methods

Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

Aditya Khamparia et al.

Summary: This paper focuses on transfer learning for early detection of breast cancer, proposing a hybrid pre-trained network that outperforms other convolutional neural network models and helps reduce misdiagnosis rates, thereby improving the efficiency of mammography analysis.

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Article Cell Biology

Global incidence and mortality of breast cancer: a trend analysis

Junjie Huang et al.

Aging-US (2021)

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Article Public, Environmental & Occupational Health

Qualitative exploration of sexual life among breast cancer survivors at reproductive age

Maryam Maleki et al.

Summary: This qualitative study aimed to explore sexual life and its related issues among breast cancer survivors at reproductive age in Iran. The main theme identified was 'unfulfilled sexual life', with four subthemes including 'undesirable sexual function', 'context-based beliefs', 'unmet information and supportive needs', and 'emotional crisis'. The research findings emphasize the importance of healthcare providers in identifying and addressing the sexual and marriage issues faced by breast cancer survivors, and suggest the establishment of sexual health counseling units to improve long-term sexual satisfaction for this vulnerable group.

BMC WOMENS HEALTH (2021)

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Review Computer Science, Artificial Intelligence

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review

Jun Bai et al.

Summary: The recent reintroduction of deep learning has revolutionized diagnostic imaging interpretation, while the technology used for image acquisition is also undergoing a revolution. Digital breast tomosynthesis (DBT) has transformed the field of breast imaging and is rapidly replacing traditional two-dimensional mammography.

MEDICAL IMAGE ANALYSIS (2021)

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Article Computer Science, Artificial Intelligence