AIMC Topic: Carcinoma, Ductal, Breast

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Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm.

Annals of surgical oncology Jul 5, 2018
OBJECTIVES: In the postneoadjuvant chemotherapy (NAC) setting, conventional radiographic complete response (rCR) is a poor predictor of pathologic complete response (pCR) of the axilla. We developed a convolutional neural network (CNN) algorithm to b...
ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Axilla Receptor, ErbB-2 Carcinoma, Ductal, Breast Magnetic Resonance Imaging Neoplasm Invasiveness Aged Aged, 80 and over Receptors, Estrogen Young Adult Adult Chemotherapy, Adjuvant Survival Rate Carcinoma, Lobular Breast Neoplasms Neural Networks, Computer Biomarkers, Tumor Algorithms Middle Aged Humans Prognosis Retrospective Studies Female
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Automated and real-time segmentation of suspicious breast masses using convolutional neural network.

PloS one May 16, 2018
In this work, a computer-aided tool for detection was developed to segment breast masses from clinical ultrasound (US) scans. The underlying Multi U-net algorithm is based on convolutional neural networks. Under the Mayo Clinic Institutional Review B...
Mammography Ultrasonography, Mammary Breast Humans Adult Neural Networks, Computer Pattern Recognition, Automated Carcinoma, Intraductal, Noninfiltrating Breast Neoplasms Algorithms Carcinoma, Ductal, Breast Middle Aged Carcinoma, Lobular Image Processing, Computer-Assisted Aged Prospective Studies Aged, 80 and over Female Young Adult
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Ensemble learning approach for detecting breast invasive ductal carcinoma from histopathological images.

Pathology, research and practice Aug 1, 2025
Invasive ductal carcinoma is a type of breast cancer that is one of the most frequent and aggressive forms of breast malignancy, necessitating accurate and timely diagnosis for effective treatment. Though considered the gold standard, traditional his...
Breast Neoplasms Deep Learning Image Interpretation, Computer-Assisted Carcinoma, Ductal, Breast Ensemble Learning Humans Neural Networks, Computer Algorithms Female
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Presurgical Upgrade Prediction of DCIS to Invasive Ductal Carcinoma Using Time-dependent Deep Learning Models with DCE MRI.

Radiology. Artificial intelligence Sep 1, 2024
Purpose To determine whether time-dependent deep learning models can outperform single time point models in predicting preoperative upgrade of ductal carcinoma in situ (DCIS) to invasive malignancy at dynamic contrast-enhanced (DCE) breast MRI withou...
Breast Carcinoma, Intraductal, Noninfiltrating Image Interpretation, Computer-Assisted Carcinoma, Ductal, Breast Deep Learning Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Humans Retrospective Studies Adult Breast Neoplasms Middle Aged Female Aged
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CNN-based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma.

Cancer medicine Aug 1, 2024
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. ...
Neoplasm Metastasis Carcinoma, Ductal, Breast Neural Networks, Computer Humans Female Breast Neoplasms Deep Learning
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Radiomic Machine Learning in Invasive Ductal Breast Cancer: Prediction of Ki-67 Expression Level Based on Radiomics of DCE-MRI.

Technology in cancer research & treatment Jan 1, 2024
PURPOSE: Our study aimed to investigate the potential of radiomics with DCE-MRI for predicting Ki-67 expression in invasive ductal breast cancer.
Machine Learning Prognosis Retrospective Studies Female Humans Biomarkers, Tumor Middle Aged ROC Curve Magnetic Resonance Imaging Area Under Curve Aged Adult Breast Neoplasms Radiomics Image Interpretation, Computer-Assisted Carcinoma, Ductal, Breast Ki-67 Antigen
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Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer.

Medicine Jan 21, 2022
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...
Deep Learning Ultrasonography Carcinoma, Ductal, Breast Humans Computers Retrospective Studies Female Adult Breast Neoplasms Middle Aged Aged Aged, 80 and over
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Computer-assisted Diagnosis of Breast Cancer by Cell Network Matrix Extraction and Multilayer Perceptron Analysis.

Annals of clinical and laboratory science Mar 1, 2020
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...
Image Processing, Computer-Assisted Carcinoma, Ductal, Breast Sclerosis Adenofibroma Female Breast Neoplasms Diagnosis, Computer-Assisted ROC Curve Neural Networks, Computer Computer Simulation Prognosis Humans
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[A Case of Breast Cancer Liver Metastases with Jaundice Responding to Chemotherapy].

Gan to kagaku ryoho. Cancer & chemotherapy Dec 1, 2019
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...
Liver Neoplasms Jaundice Antineoplastic Combined Chemotherapy Protocols Humans Paclitaxel Female Carcinoma, Ductal, Breast Breast Neoplasms Middle Aged
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Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.

Applied optics Feb 10, 2019
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...
Breast Neoplasms Image Processing, Computer-Assisted Support Vector Machine Tomography, Optical Coherence Humans Machine Learning Carcinoma, Ductal, Breast Algorithms Female Reproducibility of Results
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