Search Results

Physical and mental health of breast cancer patients and survivors before and during successive SARS-CoV-2-infection waves.

• Authors : Bargon, Claudia A. (AUTHOR); Mink van der Molen, Dieuwke R. (AUTHOR); Batenburg, Marilot C. T. (AUTHOR)

Subjects: BREAST cancer; CANCER patients; MENTAL health services

• Source: Quality of Life Research. Aug2023, Vol. 32 Issue 8, p2375-2390. 16p. 1 Diagram, 4 Charts.

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Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer.

• Authors : Deng T; Department of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.; Liang J

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/genetics; Humans

• Source: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium:

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A Working Model for Religious/Spiritual Intervention of Patients with Breast Cancer in Iran: From the Viewpoints of Experts.

• Authors : Ghaempanah, Zeinab (AUTHOR); Aghababaei, Naser (AUTHOR); Lueke, Niloufar A. (AUTHOR)

Subjects: BREAST cancer; CANCER patients; PATIENTS' attitudesIRAN

• Source: Pastoral Psychology. Apr2023, Vol. 72 Issue 2, p225-244. 20p. 1 Diagram, 3 Charts.

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Emotional processes in partners' quality of life at various stages of breast cancer pathway: a longitudinal study.

• Authors : Baudry, Anne-Sophie; Vanlemmens, Laurence; Congard, Anne

Subjects: EMOTIONAL competence; BREAST cancer; ANXIETY

• Source: Quality of Life Research. Apr2023, Vol. 32 Issue 4, p1085-1094. 10p. 1 Diagram, 3 Charts.

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HBNet: an integrated approach for resolving class imbalance and global local feature fusion for accurate breast cancer classification.

• Authors : Abhisheka, Barsha (AUTHOR); Biswas, Saroj Kumar (AUTHOR); Purkayastha, Biswajit (AUTHOR)

Subjects: BREAST cancer; TUMOR classification; CONVOLUTIONAL neural networks

• Source: Neural Computing & Applications. May2024, Vol. 36 Issue 15, p8455-8472. 18p.

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An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images.

• Authors : Sharma, Shallu (AUTHOR); Kumar, Sumit (AUTHOR); Sharma, Manoj (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; BREAST cancer; CLINICAL competence

• Source: Neural Computing & Applications. Apr2024, Vol. 36 Issue 11, p5673-5693. 21p.

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A framework for classifying breast cancer based on deep features integration and selection.

• Authors : Hassan, Abdallah M. (AUTHOR); Yahya, Ahmed (AUTHOR); Aboshosha, Ashraf (AUTHOR)

Subjects: BREAST cancer; CONVOLUTIONAL neural networks; DEEP learning

• Source: Neural Computing & Applications. Jun2023, Vol. 35 Issue 16, p12089-12097. 9p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study.

• Authors : Elhakim MT; Department of Radiology, Odense University Hospital, Kløvervaenget 47, Entrance 27, Ground floor, 5000, Odense C, Denmark. .; Department of Clinical Research, University of Southern Denmark, Kløvervaenget 10, Entrance 112, 2nd floor, 5000, Odense C, Denmark. .

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/epidemiology; Female

• Source: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium:

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Applied Science & Technology Full Text (H.W. Wilson)

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