AIMC Topic: Carcinoma, Ductal

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DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.

IEEE journal of biomedical and health informatics Mar 6, 2024
Accurate breast cancer (BC) diagnosis is a difficult task that is critical for the proper treatment of BC in IoMT (Internet of Medical Things) healthcare systems. This paper proposes a convolutional neural network (CNN)-based diagnosis method for det...
Humans Delivery of Health Care Female Breast Neoplasms Deep Learning Benchmarking Carcinoma, Ductal
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Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images.

Scientific reports Nov 10, 2022
Computer-aided Invasive Ductal Carcinoma (IDC) grading classification systems based on deep learning have shown that deep learning may achieve reliable accuracy in IDC grade classification using histopathology images. However, there is a dearth of co...
Humans Neural Networks, Computer Machine Learning Publications Carcinoma, Ductal
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Automated detection and grading of Invasive Ductal Carcinoma breast cancer using ensemble of deep learning models.

Computers in biology and medicine Oct 13, 2021
Invasive ductal carcinoma (IDC) breast cancer is a significant health concern for women all around the world and early detection of the disease may increase the survival rate in patients. Therefore, Computer-Aided Diagnosis (CAD) based systems can as...
Humans Female Survival Rate Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Carcinoma, Ductal, Breast Carcinoma, Ductal
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A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision.

Computers in biology and medicine Jun 13, 2020
OBJECTIVES: This study is aimed to assess the feasibility of AutoML technology for the identification of invasive ductal carcinoma (IDC) in whole slide images (WSI).
Humans Neural Networks, Computer Machine Learning Carcinoma, Ductal
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Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.

JAMA network open Aug 2, 2019
IMPORTANCE: Following recent US Food and Drug Administration approval, adoption of whole slide imaging in clinical settings may be imminent, and diagnostic accuracy, particularly among challenging breast biopsy specimens, may benefit from computerize...
Humans Neural Networks, Computer Machine Learning Female Sensitivity and Specificity Breast Neoplasms Biopsy Registries Carcinoma, Intraductal, Noninfiltrating Reference Standards Carcinoma, Ductal
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[Efficacy of Neoadjuvant Endocrine Therapy for Prostate Ductal Carcinoma with Large Multiple Cysts Prior to Robot-Assisted Laparoscopic Radical Prostatectomy].

Hinyokika kiyo. Acta urologica Japonica Apr 1, 2020
A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compressing the prostate on the right ventral side on pelvic magnetic resonance imaging (MRI). The prostate specific antigen (PSA) level was 6.47 ng/ml. Pros...
Humans Aged Male Neoadjuvant Therapy Robotics Prostatic Neoplasms Prostate-Specific Antigen Laparoscopy Cysts Prostatectomy Carcinoma, Ductal
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