AIMC Topic: Carcinoma, Ductal, Breast

Clear Filters Showing 31 to 36 of 36 articles

CNN-based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma.

Cancer medicine
OBJECTIVE: Breast cancer is one of the leading cancer causes among women worldwide. It can be classified as invasive ductal carcinoma (IDC) or metastatic cancer. Early detection of breast cancer is challenging due to the lack of early warning signs. ...

Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer.

Medicine
To investigate the correlations between ultrasonographic morphological characteristics quantitatively assessed using a deep learning-based computer-aided diagnostic system (DL-CAD) and histopathologic features of breast cancer.This retrospective stud...

Computer-assisted Diagnosis of Breast Cancer by Cell Network Matrix Extraction and Multilayer Perceptron Analysis.

Annals of clinical and laboratory science
OBJECTIVE: Diagnosis of breast cancer is based on identification of various morphologic features by histopathologic examination of the specimen. Ancillary immunohistochemical and molecular analyses provide additional information that is prognostic an...

[A Case of Breast Cancer Liver Metastases with Jaundice Responding to Chemotherapy].

Gan to kagaku ryoho. Cancer & chemotherapy
A 50-year-old woman was referred to our hospital due to breast cancer with multiple liver metastasis diagnosed by CT scan. Laboratory findings showed liver dysfunction(T-Bil 7.6mg/dL)with marked elevation of tumor markers(CEA 727.9 ng/mL). Breast tum...

Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.

Applied optics
In breast cancer, 20%-30% of cases require a second surgery because of incomplete excision of malignant tissues. Therefore, to avoid the risk of recurrence, accurate detection of the cancer margin by the clinician or surgeons needs some assistance. I...