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86 results for “Breast cancer”
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Research ArticleOpen accessPhrase in the titleImpact of CTLA-4 Inhibitor Combined with Chemotherapy on Immunoglobulin Levels and General Condition in Breast Cancer PatientsRuiguang CaiThis study conducted an evaluation of the CTLA-4 inhibitor ipilimumab plus standard chemotherapy on immunoglobulin levels, performance status, and Quality of Life (QoL) in patients with stage I-III Breast Cancer (BC) via a randomized controlled trial. 120 patients with stage I-III BC were randomly allocated to the experimental group (chemotherapy + ipilimumab) and the control group (chemotherapy), and the treatment … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,115 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAntiproliferative Potential of Pomegranate Peel Extract in MDA-MB Breast Cancer Cell LinesManal Asif Hamdulay, Fatema Yusuf Singaporewala, Grisilda Vidya Bernhardt et al.Nutraceuticals have gained recognition as adjuvant therapies in cancer treatment due to their non-toxic and protective properties. Among various natural products, pomegranate peel with high antioxidant capacity and rich polyphenol content suggest potential anticancer properties. Previous studies have shown promising anticancer effects of other parts of the pomegranate. The purpose of this research is to compare the effectiveness of Pomegranate … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 1 · 13 May 2025 · 5,582 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleChallenges of Breast Cancer Detection Based on Histopathology ImagesAlaa Mohamed Youssef, Aliaa Abdel-Haleim Abdel-Razik Youssif, Wessam El BehaidyArtificial Intelligence (AI) is rapidly evolving every day to become increasingly potent and dependable. AI systems are becoming more sophisticated and are being utilized across various domains with the goal of enhancing human existence. Within the healthcare system, artificial intelligence finds application in handling and documenting large volumes of medical data, conducting analyses of healthcare systems, advancing pharmaceutical development, and … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 4,942 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleRadial Basis Function Networks and Contrast-Limited Adaptive Histogram Equalization Filter Based Early-Stage Breast Cancer Detection TechniquesAnitha Ponraj, Aroul CanessaneBreast cancer is one of the most common types of cancer that kills women. When cells become uncontrollably large, cancer develops. As a result, detecting and classifying breast cancer in its early stages is essential so that patients can take the appropriate precautions. On the other hand, mammography images have relatively low sensitivity and effectiveness in detecting breast cancer. Furthermore, … …Journal of Computer Science, Vol. 19, Issue 6 · 25 May 2023 · 5,613 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleClassify Breast Cancer Patients using Hybrid Data-Mining TechniquesFaris E. Mohammed, Nadia Smaoui Zghal, Dalinda Ben Aissa, Mostafa Mahmoud El-GayarAccording to the World Health Organization (WHO), breast cancer is a disease that leads to death, especially for women who have neglected or ignored the risk factors. Doctors can classify patients according to clinical information, famous disease symptoms, or similar cases. But, some cases are difficult to detect early or diagnose accurately. Therefore, the most important challenge faced by researchers … …Journal of Computer Science, Vol. 18, Issue 4 · 12 May 2022 · 6,526 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer DatasetOlufunke Oladipupo, Oluwole Olajide, Stephen Adubi et al.In the literature, several methods explored to analyze breast cancer dataset have failed to sufficiently handle quantitative attribute sharp boundary problem to resolve inter and intra uncertainties in breast cancer dataset analysis. In this study an Interval Type-2 fuzzy association rule mining approach is proposed for pattern discovery in breast cancer dataset. In the first part of this analysis, the … …Journal of Computer Science, Vol. 17, Issue 3 · 6 Apr 2021 · 7,164 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleONCODIAG Select and Test (ST) Algorithm: An Approximate Clinical Reasoning Model for Diagnosing and Monitoring Breast CancerO.N. Oyelade, A.A. Obiniyi, S.B. JunaiduClinical reasoning involves coordinated thinking strategies targeted at gathering and analyzing relevant information to arrive at a high-quality clinical solution to patients' medical problems. The correctness and proper choice of clinical reasoning approach chosen by a clinician or machine affect the accuracy and acceptability of the diagnosis; moreover, another challenge that usually surfaces during clinical reasoning is the burden of … …Current Research in Bioinformatics, Vol. 9, Issue 1 · 22 Feb 2020 · 8,936 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSpousal Interaction and Breast Cancer Screening Among Korean AmericansUsha Menon, Eunice Lee, Jennifer Kue et al.Breast cancer screening rates for Korean Americans (KA) are low, leading to higher morbidity and mortality of the screening interventions tested, almost none account for family interactions and communication between KA couples. The purpose of this study was to explore communication patterns between KA wives and husbands about breast cancer screening after attending an educational program on breast health. Couples … …International Journal of Research in Nursing, Vol. 9, Issue 1 · 30 Mar 2018 · 7,240 accessesView PDFCite