Relevant bibliographies by topics / Ovaries – Cancer – Popular works

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Academic literature on the topic 'Ovaries – Cancer – Popular works'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Ovaries – Cancer – Popular works"

1

Yang, W. "Development of evidence-based popular works of oral cancer." International Journal of Oral and Maxillofacial Surgery 54 (July 2025): 160. https://doi.org/10.1016/j.ijom.2025.04.440.

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Puja, Singh, Aakash, Shankar Singh Binod, and Mishra Asim. "Evaluating HE4 as a Biomarker in Ovarian Cancer: A Comparative Study with CA-125 in Benign and Malignant Cases." International Journal of Pharmaceutical and Clinical Research 16, no. 5 (2024): 2162–64. https://doi.org/10.5281/zenodo.12955625.

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<strong>Background:&nbsp;</strong>Cancer of ovaries remains one out of the fatal diseases for women, primarily because it is often detected at later stages. Serum Human Epididymus Protein-4 (HE4) and CA-125 i.e. Cancer Antigen-125 are critical bio-markers used for detection and differentiation of cancer of ovaries from benign conditions. The diagnostic accuracy of these markers is crucial for improving early detection and treatment outcomes.&nbsp;<strong>Aim:&nbsp;</strong>The focus of this study is to evaluate the effectiveness of HE4 as a biomarker for cancer of ovaries, comparing its abilit
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Heartlin Maria, H., A. Maria Jossy, and S. Malarvizhi. "A Machine Learning approach for classification of ovarian tumours." Journal of Physics: Conference Series 2335, no. 1 (2022): 012018. http://dx.doi.org/10.1088/1742-6596/2335/1/012018.

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Abstract Ovarian tumours are abnormal growths in the ovaries which can be either cancerous or non-cancerous. Ovarian cancer is reported to cause more deaths than any other female reproductive cancers. In order to reduce the death rate, early diagnosis and treatment is required. In the recent days, Artificial Intelligence (AI) based Computer Aided Diagnosis(CAD) is being used performed in order to reduce human errors. This work is one such CAD based classification system to classify of benign and malignant ovarian tumours. Six popular Machine Learning(ML) algorithms have been applied on clinica
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4

Silvestris, Cafforio, Felici, Cormio, and D’Oronzo. "Ddx4+ Oogonial Stem Cells in Postmenopausal Women’s Ovaries: A Controversial, Undefined Role." Cells 8, no. 7 (2019): 650. http://dx.doi.org/10.3390/cells8070650.

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Recent studies support the existence of oogonial stem cells (OSCs) in the ovarian cortex of different mammals, including women.These cells are characterized by small size, membrane expression of DEAD(Asp-Glu-Ala-Asp)-box polypeptide-4 (Ddx4), and stemness properties (such as self-renewal and clonal expansion) as well as the ability to differentiate in vitro into oocyte-like cells. However, the discovery of OSCs contrasts with the popular theory that there is a numerically defined oocyte pool for female fertility which undergoes exhaustion with menopause. Indeed, in the ovarian cortex of postme
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Deodikar, Sayali, Asma Shaikh, Shraddha Jadhav, Aishwarya Joshi, and Sejal Mutakekar. "PCOS Detection: A Study of the Literature." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 544–49. http://dx.doi.org/10.22214/ijraset.2023.49079.

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Abstract: PCOS or Polycystic ovary syndrome is a syndrome that happens during the reproductive stage. This occurs when the women’s ovaries produce a higher androgen hormone level. Many women face the issue of infertility. This problem usually occurs due to PCOS. Higher levels of androgen hormone stop the process of ovulation leading to infertility and gynaecological cancer. Though the rate of arising this disease is lower as compared to other diseases, it can cause serious health issues when remaining untreated. Doctors manually review the ultrasound reports and check the number of follicles a
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G. Nivedhitha, P. Kalpana, Rajagopal R, Anusha Rani V, Ajith. B. Singh, and Sheik Sidthik A. "Novel Deep Learning Neural Networks for Breast Cancer Malignancy Estimation." Journal of Advanced Research in Applied Sciences and Engineering Technology 47, no. 1 (2024): 140–51. http://dx.doi.org/10.37934/araset.47.1.140151.

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Medicine has become one of the huge fields which has its own growth each and every day. Few diseases are still a threat to medical field. Because of its destructive nature, cancer is a disease that causes fear in many people throughout the world. However, most cancers are curable if detected early and treated with the right medical care and computer-assisted diagnosis. These days, diagnosis is more popular because it works well as a primary screening test for many diseases, particularly cancer. Deep learning is a method of artificial intelligence where the computer is given intelligence that a
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7

Godri, Luciana, and Carolina Marcelino. "Institutional Clashes Beyond the Judicialization of Health: Overlapping Powers in the Case of the Cancer Pill." Ciências e Políticas Públicas / Public Sciences & Policies 7, no. 1 (2021): 313–31. http://dx.doi.org/10.33167/2184-0644.cpp2021.vviin1/pp.313-331.

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The 1988 Brazilian Federal Constitution institutes the promotion of “universal and equal access” to health care for Brazilian citizens. In this article, we will focus on the use and distribution of medicines as one of the national health system components. The organization responsible for standardizing and regulating the production and consumption of products and services is ANVISA – National Health Surveillance Agency, which works like the FDA (Federal Drug Administration). A unique episode took place in 2015 when a “popular uprising” began to take shape in Brazil around an issue regulated by
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N, Shifa Kubra. "Skin Cancer Segmentation Using U-Net." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1600–1605. http://dx.doi.org/10.22214/ijraset.2021.37615.

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Abstract: Melanoma is one of the most prevalent and severe types of skin cancer, accounting for 75 percent of all skin cancer deaths. Early detection of melanoma can greatly improve the chances of survival. Melanoma segmentation is a critical and necessary stage in the correct detection of melanoma. For high-resolution dermoscopy images, many previous works based on standard segmentation algorithms and deep learning methods have been offered. Automatic melanoma segmentation remains a difficult task for present algorithms due to the inherent visual complexity and ambiguity among different skin
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Simeon Ikechukwu, Egba, and Chigbo Daniel. "Maximizing the Potential of Ketogenic Dieting as a Potent, Safe, Easy-to-Apply and Cost-Effective Anti-Cancer Therapy." Archives of Cancer Science and Therapy 9, no. 1 (2025): 001–5. https://doi.org/10.29328/journal.acst.1001047.

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The global menace of cancer requires supplementary treatments beyond standard medical approaches for effective medical intervention. The Ketogenic Diet (KD) composed of high fats combined with moderate proteins and low carbohydrates has become popular as a metabolic therapy for cancer. The anti-cancer mechanism of KD works through metabolic stress induction in cancer cells, reduced insulin and IGF-1 signaling pathways, improved mitochondrial function, inflammation, and immune regulation. Standard cancer treatments receive enhanced outcomes through KD synergistic action which simultaneously dec
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Menshikov, Konstantin V. "Evolution of surgical treatment of vulvar cancer: a literature review." Russian Journal of Oncology 25, no. 4 (2020): 154–60. http://dx.doi.org/10.17816/1028-9984-2020-25-4-154-160.

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In the structure of gynecological oncological pathology, vulvar cancer is located after cancer of the body of the uterus, cervix, and ovaries. The first publications on the surgical treatment of vulvar cancer date back to the second half of the 19th century. In the works of surgeons F. J. Taussig (1949) and S. Way (1960), radical vulvectomy with regional lymphadenectomy became a method of treating patients with invasive squamous cell carcinoma of the vulva. With this aggressive approach, sufficiently high levels of five-year survival of patients with vulvar cancer were achieved up to 90% in a
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Dissertations / Theses on the topic "Ovaries – Cancer – Popular works"

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Turrisi, Rob, Joel J. Hillhouse, Kimberly Mallett, Jerod L. Stapleton, and June K. Robinson. "A Systematic Review of Intervention Efforts to Reduce Indoor Tanning." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/31.

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This chapter reviews the literature examining interventions to reduce indoor tanning (IT). The first objective was to highlight programs that show promise for large scale dissemination. The second objective was to promote criteria and standards for future intervention research efforts. The scope of interest for this review includes universal (for everyone in the population), selective (for those in the population who are at a greater risk), and indicated (for those who already are experiencing conditions that identify them as at risk) programs. The evaluation of the interventions resulted in t
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Hillhouse, Joel J., and Rob Turrisi. "Motivations for Indoor Tanning: Theoretical Models." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/63.

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This chapter reviews the literature applying health behavior theories to indoor tanning. Few studies have tried to fit full versions of health behavior models to indoor tanning. Theoretical models from the family of theories referred to as the reasoned action approach (e.g., theory of planned behavior, behavioral alternative model, prototype willingness model, etc.) have been most commonly used to study indoor tanning. Results indicate that these models fit indoor tanning data moderately to extremely well. Two lesser known models, problem behavior theory and the terror management health model,
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Books on the topic "Ovaries – Cancer – Popular works"

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E, Bristow Robert, and Anastasia Paula J, eds. A Guide to Survivorship for Women With Ovarian Cancer. The Johns Hopkins University Press, 2005.

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2

Salani, Ritu. Johns Hopkins medicine patients' guide to ovarian cancer. Jones and Bartlett Publishers, 2011.

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3

Benigno, Benedict B. The ultimate guide to ovarian cancer: Everything you need to know about diagnosis, treatment, and research. Sherryben Publishing House, 2013.

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Salani, Ritu. Johns Hopkins patients' guide to ovarian cancer. Jones and Bartlett Publishers, 2009.

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5

Bristow, Robert. Johns Hopkins patients' guide to ovarian cancer. Jones and Bartlett Publishers, 2009.

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6

Piver, M. Steven. Myths and facts about ovarian cancer: What you need to know. PRR, 1997.

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7

Conner, Kristine. Ovarian cancer: Your guide to taking control. O'Reilly, 2003.

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8

Piver, M. Steven. Gilda's disease: Sharing personal experiences and a medical perspective on ovarian cancer. Broadway Books, 1998.

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9

Rebecca, Sutphen, and Steligo Kathy, eds. Confronting hereditary breast and ovarian cancer: Identify your risk, understand your options, change your destiny. Johns Hopkins University Press, 2012.

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10

Sims, Diane. Cancer des ovaires: Votre compagnon d'espoir. Éditions Un monde différent, 2004.

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Book chapters on the topic "Ovaries – Cancer – Popular works"

1

Møller, Pål. "Management of familial breast and breast–ovarian cancer in Europe." In Risk Assessment and Management in Cancer Genetics. Oxford University PressOxford, 2005. http://dx.doi.org/10.1093/oso/9780198529606.003.0008.

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Abstract Paul Broca, in 1866, was the first to describe inherited breast–ovarian cancer (1). He demonstrated the transmission of the assumed underlying genetic defect, its expression, the age-related and sex-limited penetrance, and the possibilities of modifying environ- mental and genetic factors, but his work attracted limited attention. The concept of inherited breast cancer re-emerged a hundred years later, when it was subjected to formal segregation analyses, which also demonstrated an association with ovarian cancer (2). Efforts were undertaken to locate the genes, leading to description
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