Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230366 | PMC |
| http://dx.doi.org/10.5811/cpcem.2018.8.39493 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics.
Anal Chem
January 2025
State Key Laboratory of Cellular Stress Biology, Institute of Artificial Intelligence, School of Life Sciences, Faculty of Medicine and Life Sciences, National Institute for Data Science in Health and Medicine, XMU-HBN skin biomedical research center, Xiamen University, Xiamen, Fujian 361102, China.
In metabolomic analysis based on liquid chromatography coupled with mass spectrometry, detecting and quantifying intricate objects is a massive job. Current peak picking methods still cause high rates of incorrectly picked peaks to influence the reliability and reproducibility of results. To address these challenges, we developed QuanFormer, a deep learning method based on object detection designed to accurately quantify peak signals.
View Article and Find Full Text PDFA quantum-optimized approach for breast cancer detection using SqueezeNet-SVM.
Sci Rep
January 2025
College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
View Article and Find Full Text PDFPrognostic Factors in Therapy Regimes of Breast Cancer Patients with Brain Metastases: A Retrospective Monocentric Analysis.
Cancers (Basel)
January 2025
Department of Neurology, University Hospital Nürnberg, Paracelsus Medical University, 90471 Nürnberg, Germany.
Breast cancer patients who develop brain metastases have a high mortality rate and a massive decrease in quality of life. Approximately 10-15% of all patients with breast cancer (BC) and 5-40% of all patients with metastatic BC develop brain metastasis (BM) during the course of the disease. However, there is only limited knowledge about prognostic factors in the treatment of patients with brain metastases in breast cancer (BMBC).
View Article and Find Full Text PDFSimultaneous Treatment of Pseudo-gynecomastia and Lateral Chest in Patients with Massive Weight Loss.
Aesthetic Plast Surg
January 2025
Department of Plastic, Burn and Maxillofacial Surgery, Ain Shams University, 7 Mohsen Roshdy street, Nasr City, Cairo, 11731, Egypt.
Background: Pseudogynecomastia in MWL patients is characterized by excess skin in chest, lateral chest, axilla and upper abdomen without enlargement of the breast glandular component. The aim of this work was to study long-term aesthetic outcomes of correction of severe pseudogynecomastia post-weight loss with inferior pedicle technique with some refinements.
Methodology: This prospective study included 15 patients underwent chest contouring after massive weight loss within period of 2 years between January 2022 and January 2024.
Determining whether an ipsilateral breast carcinoma recurrence is a true recurrence or a new primary remains challenging based solely on clinicopathologic features. Algorithms based on these features have estimated that up to 68% of recurrences might be new primaries. However, few studies have analyzed the clonal relationship between primary and secondary carcinomas to establish the true nature of recurrences.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!