AIMC Topic: Breast

Clear Filters Showing 401 to 410 of 627 articles

Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.

Artificial intelligence in medicine Dec 23, 2019
Nowadays, Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated to be a valid complementary diagnostic tool for early detection and diagnosis of breast cancer. However, without a CAD (Computer Aided Detection) system, manual...
Magnetic Resonance Imaging Early Detection of Cancer Breast Reproducibility of Results Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model.

IEEE journal of biomedical and health informatics Dec 19, 2019
Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial role in the successful treatment of the disease and the effective reduction of deaths. In this paper, deep learning technology combined with ultrasound imagin...
Deep Learning Ultrasonography, Mammary Breast Supervised Machine Learning Humans Image Interpretation, Computer-Assisted Algorithms Female Sensitivity and Specificity Breast Neoplasms
View on PubMed DOI

Artificial intelligence in digital breast pathology: Techniques and applications.

Breast (Edinburgh, Scotland) Dec 19, 2019
Breast cancer is the most common cancer and second leading cause of cancer-related death worldwide. The mainstay of breast cancer workup is histopathological diagnosis - which guides therapy and prognosis. However, emerging knowledge about the comple...
Artificial Intelligence Female Humans Breast Neoplasms Breast Image Interpretation, Computer-Assisted
View on PubMed DOI

Editorial on "Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue".

Journal of magnetic resonance imaging : JMRI Dec 17, 2019
Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Breast Humans Breast Neoplasms Deep Learning
View on PubMed DOI

Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics.

IEEE journal of biomedical and health informatics Nov 28, 2019
OBJECTIVE: Histologic grade and Ki-67 proliferation status are important clinical indictors for breast cancer prognosis and treatment. The purpose of this study is to improve prediction accuracy of these clinical indicators based on tumor radiomic an...
Ki-67 Antigen Prognosis Contrast Media Humans Diffusion Magnetic Resonance Imaging Female Machine Learning Adult Magnetic Resonance Imaging Aged Breast Breast Neoplasms Aged, 80 and over Image Interpretation, Computer-Assisted Middle Aged
View on PubMed DOI

Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy.

Breast (Edinburgh, Scotland) Nov 23, 2019
In patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy (NAC), some patients achieve a complete pathologic response (pCR), some achieve a partial response, and some do not respond at all or even progress. Accurate predicti...
Humans Machine Learning Female Adult Breast Neoplasms Middle Aged Treatment Outcome Predictive Value of Tests Neoadjuvant Therapy Breast Chemotherapy, Adjuvant Multiparametric Magnetic Resonance Imaging
View on PubMed DOI

Early and Late Fusion Machine Learning on Multi-Frequency Electrical Impedance Data to Improve Radiofrequency Ablation Monitoring.

IEEE journal of biomedical and health informatics Nov 11, 2019
Radiofrequency ablation (RFA) is a popular modality for tumor treatment. However, inexpensive real-time monitoring of RFA within multiple tissue types is still an ongoing research topic. The objective of this study is to utilize multi-frequency elect...
Radiofrequency Ablation Machine Learning Algorithms Animals Swine Neoplasms Breast Models, Biological Electric Impedance
View on PubMed DOI

Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the impact of utilizing digital breast tomosynthesis (DBT) or/and full-field digital mammography (FFDM), and different transfer learning strategies on deep convolutional neural network (DCNN)-based mass classification for breas...
Breast Radiographic Image Enhancement Mammography Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Young Adult Adult Breast Neoplasms Middle Aged Deep Learning Imaging, Three-Dimensional Machine Learning Retrospective Studies Female Aged Humans Neural Networks, Computer
View on PubMed DOI

A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Radiological physics and technology Nov 4, 2019
In digital mammography, which is used for the early detection of breast tumors, oversight may occur due to overlap between normal tissues and lesions. However, since digital breast tomosynthesis can acquire three-dimensional images, tissue overlappin...
Humans Machine Learning Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Support Vector Machine Algorithms Female Reproducibility of Results Breast Neoplasms Breast Pattern Recognition, Automated False Positive Reactions Mammography Bayes Theorem Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network.

Journal of healthcare engineering Nov 3, 2019
Breast cancer is the most common cancer among women worldwide with about half a million cases reported each year. Mammary thermography can offer early diagnosis at low cost if adequate thermographic images of the breasts are taken. The identification...
Image Processing, Computer-Assisted Humans Pattern Recognition, Automated Reproducibility of Results Neural Networks, Computer Models, Statistical Breast Neoplasms Thermography Algorithms Bayes Theorem Diagnosis, Computer-Assisted Female Breast
View on PubMed DOI
Popular Topics
Recent Journals