AIMC Topic: Breast Neoplasms

Clear Filters Showing 2351 to 2360 of 2382 articles

Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound.

Journal of X-ray science and technology
Osteoblastoma is a rare benign primary bone tumor, which occurs in any part of the skeleton. Extraskeletal osteoblastoma is rather rare. We presented an extremely rare case of extraskeletal osteoblastoma located in the breast. The tumor recurred 7 mo...

A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

Journal of X-ray science and technology
PURPOSE: To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses.

Developing a Manually Annotated Corpus of Clinical Letters for Breast Cancer Patients on Routine Follow-Up.

Studies in health technology and informatics
This paper introduces the annotation schema and annotation process for a corpus of clinical letters describing the disease course and treatment of oestrogen receptor positive breast cancer patients, after completion of primary surgery and radiotherap...

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.

Medical physics
PURPOSE: Develop a computer-aided detection (CAD) system for masses in digital breast tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with transfer learning from mammograms.

[Analysis of the Risk Factors of Febrile Neutropenia Among 72 Women Receiving FEC in Early Breast Cancer Chemotherapy].

Gan to kagaku ryoho. Cancer & chemotherapy
In early breast cancer chemotherapy, it is important to maintain the relative dose intensity(RDI). We retrospectively ana- lyzed the incidence and risk factors of febrile neutropenia(FN)among women receiving FEC(5-fluorouracil 500mg/m2, epirubicin 10...

The effectiveness of argumentation in tutorial dialogues with an Intelligent Tutoring System for genetic risk of breast cancer.

Behavior research methods
BRCA Gist is an Intelligent Tutoring System that helps women understand issues related to genetic testing and breast cancer risk. In two laboratory experiments and a field experiment with community and web-based samples, an avatar asked 120 participa...

Automatic classification of cancer cells in multispectral microscopic images of lymph node samples.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Histopathological analysis is crucial for the diagnosis of a large number of cancer types. A lot of progress has been made in the development of molecular based assays, but many of the cases still require the careful analysis of the stained tissue un...

Learning approaches to improve prediction of drug sensitivity in breast cancer patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond d...

Detection of mitotic nuclei in breast histopathology images using localized ACM and Random Kitchen Sink based classifier.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The exact measure of mitotic nuclei is a crucial parameter in breast cancer grading and prognosis. This can be achieved by improving the mitotic detection accuracy by careful design of segmentation and classification techniques. In this paper, segmen...

Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach.

Oncotarget
PURPOSE: This study demonstrated the ability of quantitative ultrasound (QUS) parameters in providing an early prediction of tumor response to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC).