History of mammography: analysis of breast imaging diagnostic achievements over the last century
L Nicosia, G Gnocchi, I Gorini, M Venturini, F Fontana… - Healthcare, 2023 - mdpi.com
Breast cancer is the most common forms of cancer and a leading cause of mortality in
women. Early and correct diagnosis is, therefore, essential to save lives. The development of …
women. Early and correct diagnosis is, therefore, essential to save lives. The development of …
An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
Current imaging methods for diagnosing breast cancer (BC) are associated with limited
sensitivity and specificity and modest positive predictive power. The recent progress in …
sensitivity and specificity and modest positive predictive power. The recent progress in …
Predicting extrathyroidal extension in papillary thyroid carcinoma using a clinical-radiomics nomogram based on B-mode and contrast-enhanced ultrasound
L Jiang, S Guo, Y Zhao, Z Cheng, X Zhong, P Zhou - Diagnostics, 2023 - mdpi.com
Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer.
PTC patients with extrathyroidal extension (ETE) are associated with poor prognoses. The …
PTC patients with extrathyroidal extension (ETE) are associated with poor prognoses. The …
Improving the malignancy prediction of breast cancer based on the integration of radiomics features from dual-view mammography and clinical parameters
C Zhou, H Xie, F Zhu, W Yan, R Yu, Y Wang - Clinical and Experimental …, 2023 - Springer
Radiomics has been a promising imaging biomarker for many malignant diseases. We
developed a novel radiomics strategy that incorporating radiomics features extracted from …
developed a novel radiomics strategy that incorporating radiomics features extracted from …
Clinical Applications of Radiomics and Deep Learning in Breast and Lung cancer: a Narrative Literature Review on Current Evidence and Future Perspectives
A Ferro, M Bottosso, MV Dieci, E Scagliori… - Critical Reviews in …, 2024 - Elsevier
Radiomics, analysing quantitative features from medical imaging, has rapidly become an
emerging field in translational oncology. Radiomics has been investigated in several …
emerging field in translational oncology. Radiomics has been investigated in several …
The potential and emerging role of quantitative imaging biomarkers for cancer characterization
H Tharmaseelan, A Hertel, S Rennebaum… - Cancers, 2022 - mdpi.com
Simple Summary Modern, personalized therapy approaches are increasingly changing
advanced cancer into a chronic disease. Compared to imaging, novel omics methodologies …
advanced cancer into a chronic disease. Compared to imaging, novel omics methodologies …
Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features
Breast cancer holds the highest diagnosis rate among female tumors and is the leading
cause of death among women. Quantitative analysis of radiological images shows the …
cause of death among women. Quantitative analysis of radiological images shows the …
Predicting Breast Cancer Risk Using Radiomics Features of Mammography Images
Y Suzuki, S Hanaoka, M Tanabe, T Yoshikawa… - Journal of Personalized …, 2023 - mdpi.com
Mammography images contain a lot of information about not only the mammary glands but
also the skin, adipose tissue, and stroma, which may reflect the risk of developing breast …
also the skin, adipose tissue, and stroma, which may reflect the risk of developing breast …
Breast Imaging Physics in Mammography (Part II)
One of the most frequently detected neoplasms in women in Italy is breast cancer, for which
high-sensitivity diagnostic techniques are essential for early diagnosis in order to minimize …
high-sensitivity diagnostic techniques are essential for early diagnosis in order to minimize …
人工智能在乳腺癌影像诊疗中的研究进展
翟天旭, 张敏伟, 李德春 - 分子影像学杂志, 2024 - j-fzyx.com
乳腺癌是全球最常见的癌症之一, 也是导致女性癌症死亡的主要原因. 近年来,
随着计算机性能的飞速提升, 人工智能在各个领域中大放异彩, 拥有自动分析图象能力的人工 …
随着计算机性能的飞速提升, 人工智能在各个领域中大放异彩, 拥有自动分析图象能力的人工 …