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A scoping review of large language model based approaches for information extraction from radiology reports
Nature
Radiological imaging is a globally prevalent diagnostic method, yet the free text contained in radiology reports is not frequently used for...
2 months ago
Deep learning radiomics based prediction of axillary lymph node metastasis in breast cancer | npj Breast Cancer
Nature
This study aimed to develop and validate a deep learning radiomics nomogram (DLRN) for the preoperative evaluation of axillary lymph node (ALN) metastasis...
8 months ago
A scoping review of natural language processing of radiology reports in breast cancer
Frontiers
Various natural language processing (NLP) algorithms have been applied in the literature to analyze radiology reports pertaining to the diagnosis and...
16 months ago
Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients
Frontiers
Purpose: The purpose of this study was to compare the diagnostic performance of breast lesions between deep learning-based computer-aided diagnosis (deep...
16 months ago
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms
Wiley Online Library
Mammography remains the most prevalent imaging tool for early breast cancer screening. The language used to describe abnormalities in...
54 months ago
Fig. 2. Ultrasound radiomics workflow and study flowchart. US,...
ResearchGate
To develop a nomogram incorporating B-mode ultrasound (BMUS) and shear-wave elastography (SWE) radiomics to predict malignant status of breast lesions seen on...
36 months ago
Association between ultrasound BI-RADS signs and molecular typing of invasive breast cancer
Frontiers
To explore the correlation between ultrasound images and molecular typing of invasive breast cancer, so as to analyze the predictive value of preoperative...
16 months ago
A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images - Wei - 2020 - Computational and Mathematical Methods in Medicine
Wiley Online Library
The classification of benign and malignant based on ultrasound images is of great value because breast cancer is an enormous threat to...
49 months ago
An Online Mammography Database with Biopsy Confirmed Types - Scientific Data
Nature
Breast carcinoma is the second largest cancer in the world among women. Early detection of breast cancer has been shown to increase the...
20 months ago
Towards precision medicine based on a continuous deep learning optimization and ensemble approach
Nature
We developed a continuous learning system (CLS) based on deep learning and optimization and ensemble approach, and conducted a retrospective data simulated...
21 months ago