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 …

An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis

R Elahi, M Nazari - Radiological Physics and Technology, 2024 - Springer
Current imaging methods for diagnosing breast cancer (BC) are associated with limited
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 …

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 …

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 …

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 …

Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features

G Del Corso, D Germanese, C Caudai… - Journal of Imaging …, 2024 - Springer
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 …

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 …

Breast Imaging Physics in Mammography (Part II)

N Fico, GD Grezia, V Cuccurullo, AAH Salvia… - Diagnostics, 2023 - mdpi.com
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 …

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 …