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50 articles for “breast cancer diagnosing”
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An Overview on Nuclear Imaging Scans (Diagnostic Nuclear Medicine) in Breast Cancer Diagnosis
Abstract: Nuclear medicine has major role in clinical oncology specially in tumor imaging. Under this, specific organs are evaluating or to detect presence of tumor in entire body. Nuclear medicine used to evaluate the extent of tumor at initial stage. Molecular imaging helps doctor to diagnose the accuracy of cancer. This study represents the types of nuclear medicine scan and molecular imaging in breast cancer diagnosis.Keywords: breast cancer, nuclear imaging scan, …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 12–17 Read article
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A Knowledge Graph Approach for Breast Cancer Diagnosis and Data Sharing Platform Implementation in the Context of Human Papillomavirus Infection
Abstract: Background: Breast cancer remains among the most prevalent malignancies in women worldwide, and effective diagnosis and data integration continue to challenge clinical practice. Diagnostic reports from mammography and ultrasound contain rich clinical information that is often under-utilised due to heterogeneous formats and limited data-sharing infrastructure. In the context of human papillomavirus (HPV) infection, which may influence oncogenic pathways and data complexity, advanced computational methods offer new solutions to this problem. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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Results of Thermal and Electric Field Influences on Cholesteric Liquid Crystals and their Application in new Technologies
Abstract: A significant achievement of recent decades is application of cholesteric liquid crystals in modern optical technologies. Cholesteric liquid crystals (ChLC) have unusual, and in some cases unique properties compared to traditional optical materials - the possibility of smooth and local control optical characteristics of the medium: light transmission, light scattering, polarization, refraction, reflection, absorption light, and color parameters. This control can be carried out electrical, light signals, mechanical, thermal, magnetic …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 15–23 Read article
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Molecular Docking Analysis of Berberis aristata Phytocompounds as Potential Growth Factor Receptor Blockers in Cancer Therapy
Abstract: Middle-aged and older women are susceptible to breast cancer (BC), a potentially fatal condition. When breast cancer is diagnosed, the median age is 62. Breast cancer diagnoses in women under 45 are comparatively uncommon, whereas the bulk of breast cancer diagnoses occur in women 62 and older. Growth factor receptors are interesting therapeutic targets because of their critical role in the pathophysiology of cancer. Vascular endothelial growth factor receptors (VEGFR-2) …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Breast Cancer: Risk Factors: A Mini Review of Literature
Abstract: Breast cancer was considered to be one amongst the most commonly cancer disease in the world. Now it is considered to be the second cancer disease among women in India, with most of the affected population is in the urban areas. Breast cancer is seen mostly after the age of 40 years. According to the Cancer fact 2012, breast cancer is now seen to be among women aged from 35 …
Published in Journal of Nursing Science & Practice · Vol. 4, Issue 2, 2014 · pp. 37–42 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Breast Cancer Detection and Multiple Classification Using CNN
Abstract: Although some efforts have been made in the form of preventative screening programs, breast cancer remains one of the rising causes of death in women. Computer-assisted diagnosis is needed because of the rapidly increasing number of mammograms that can be collected by these programs. Performance metrics are not significantly improved by computer aided detection methods designed to improve diagnosis without a large number of sequential readings. In this context, self-imaging …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 2, 2023 · pp. 28–38 Read article
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An experimental study to assess the efficacy of VAT on knowledge of Breast Cancer and practice of BSE among women in Chittoor, Andhra Pradesh
Abstract: Introduction: Breast cancer is more common in developing and industrialized nations alike, including India. Every year, more than a million cases of breast cancer are diagnosed worldwide. Insufficient awareness on breast cancer has been shown to be a significant contributing cause to the high rates of morbidity and death among women by refraining them from going to screening facilities, participating in BSE, and delaying treatment. Breast Cancers are second most …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 38–42 Read article
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Effectiveness of structured teaching programme on knowledge regarding breast cancer among women in selected Kudumbasree units in Pathanamthitta district
Abstract: Globally cancer is a major public health problem, one out of ten deaths occurs due to cancer. Cancer is the multiplication of the cells. Breast cancer is the cancer that forms in the cells of the breast8. Breast cancer can occur in women and rarely in men. Among women breast cancer is the second most common cancer1. In 2020, there were 2.3 million women diagnosed with breast cancer and 6,85,000 …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 3, 2023 · pp. 16–29 Read article
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Application of Cholesteric Liquid Crystals in Oncology, Music Color Device and for Indication of Sorption Process
Abstract: The cholesteric liquid crystal films were used on the basis of the property of cholesteric liquid crystals under the change of the temperature to change their color, and the developed device for diagnostics of breast cancer that easy and productively permits to conduct the diagnostics with the high accuracy of colored image of benign or malignant tumor; the developed music color device, which permits to “revive” by the different colors …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 3, 2018 · pp. 1–11 Read article
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Examining the Impact of a Nurse Navigator Program on Anxiety, Psychological Well-being, and Quality of Life in Breast Cancer Patients at a Tertiary Care Hospital in Haryana: A Randomized Controlled Trial
Abstract: Background of study: Breast cancer stands as the leading cancer type affecting women and remains a significant contributor to female mortality. It is a complex ailment influenced by multiple factors. Globally, in 2020, approximately 2.3 million women received diagnoses of breast cancer, resulting in 685,000 fatalities. This condition can profoundly impact various aspects of a person's existence, encompassing physical, psychological, emotional, social, and familial spheres. A notable observation is the …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 31–39 Read article
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Knowledge and Skill of Staff Nurses Regarding Breast Cancer and Breast Self-Examination
Abstract: Breast cancer comprises about 25% of all female cancers. Its incidence is rising constantly, also among younger women. Every 15 min, three breast cancer cases are diagnosed and one woman dies of this disease. Breast cancer is the leading cause of death among women in the age group of 40–44 years and the incidence increases significantly after 50. This experimental pre-test post-test control group design aims to evaluate the effectiveness …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 2, 2016 · pp. 1–5 Read article
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Comparison of K-nearest Neighbor and Artificial Neural Network Classifiers for the Detection of Breast Cancer
Abstract: Breast cancer is the most common type of cancer seen in women in the present day, which is also considered a life-threatening disease. If this cancer can be detected in its early stage it can be a lifesaver for many people around the world. Machine Learning techniques have become one of the hotspots for predicting the early diagnosis of breast cancer. This research work experiments with the two most popularly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 78–83 Read article
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Advancing Breast Cancer Treatment: Harnessing the Potential of Diverse Inorganic Nanoparticles
Abstract: Nanotechnology provides promising avenues for diagnostics, tumor imaging, and targeted drug delivery in breast cancer treatment. This article examines the potential of inorganic nanoparticles in breast cancer theragnosis, specifically Supramagnetic nanoparticles, gold nanoparticles, and quantum dots. It applies a scoping review approach to address the existing challenges and prospects of nanotechnology in managing breast cancer and to propose directions for future research. The findings from the review suggest that critical …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 21–41 Read article
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Practice of Breast Self-Examination among Female Health Care Professionals in Maichew Town Health Facilities, Tigray, Ethiopia: Institution Based Cross-Sectional Study
Abstract: Breast cancer is among the major life-threatening public health concerns and its incidence is increasing worldwide. Breast self-exam (BSE) is commendation for all women starting in their 20s to know how their breasts normally look and feel like and to notice any changes occur. They should be told about its benefits and limitations too. It is an important procedure in the early detection of breast cancer. It is estimated that …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 1, 2016 · pp. 30–37 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Practice of Breast Self-Examination and Associated Factors among Female Nurses of Hawassa University Comprehensive and Specialized Hospital, South Ethiopia, 2018
Abstract: Background: Breast cancer is the most commonly diagnosed cancer in women. The aim of this study was to assess practice of breast self-examination and associated factors among nurses. Methods: A hospital based descriptive cross-sectional study was conducted from March to April 2018 on a sample of 180 female nurses. Pretested and structured questionnaire was used to collect the data. Data entry was done using EPI Info 3.5.4 and exported to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 2, 2018 · pp. 23–31 Read article
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An Overview of 98 Cases of Idiopathic Granulomatous Mastitis
Abstract: Background: Granulomatous mastitis is an uncommon, benign, chronic inflammatory condition of breast of uncertain etiology. The clinical features mimic tuberculosis and breast cancer that leads to diagnostic and therapeutic dilemma. Its optimal management is still unclear with high recurrence rate. Purpose: The purpose of this study is to present the clinico-pathological features of patients with Granulomatous mastitis and our experience with the medical and surgical treatment of these patients. Methods: …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 1, 2018 · pp. 5–9 Read article