Novel approaches to screening for breast cancer

RM Mann, R Hooley, RG Barr, L Moy - Radiology, 2020 - pubs.rsna.org
Screening for breast cancer reduces breast cancer–related mortality and earlier detection
facilitates less aggressive treatment. Unfortunately, current screening modalities are …

Terpyridine-metal complexes: Applications in catalysis and supramolecular chemistry

C Wei, Y He, X Shi, Z Song - Coordination chemistry reviews, 2019 - Elsevier
As an NNN-tridentate ligand, the 2, 2′: 6′, 2 ″-terpyridine plays an important role in
coordination chemistry. With three coordination sites and low LUMO, terpyridine and its …

Association of clinician diagnostic performance with machine learning–based decision support systems: a systematic review

B Vasey, S Ursprung, B Beddoe, EH Taylor… - JAMA network …, 2021 - jamanetwork.com
Importance An increasing number of machine learning (ML)–based clinical decision support
systems (CDSSs) are described in the medical literature, but this research focuses almost …

Computer-aided diagnosis system for breast ultrasound images using deep learning

H Tanaka, SW Chiu, T Watanabe… - Physics in medicine …, 2019 - iopscience.iop.org
The purpose of this study was to develop a computer-aided diagnosis (CAD) system for the
classification of malignant and benign masses in the breast using ultrasonography based on …

[HTML][HTML] A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: added value for the …

HJ Park, SM Kim, B La Yun, M Jang, B Kim, JY Jang… - Medicine, 2019 - journals.lww.com
A computer-aided diagnosis system using artificial intellige... : Medicine A computer-aided
diagnosis system using artificial intelligence for the diagnosis and characterization of breast …

Artificial intelligence for breast ultrasound: an adjunct tool to reduce excessive lesion biopsy

XY Wang, LG Cui, J Feng, W Chen - European Journal of Radiology, 2021 - Elsevier
Purpose To determine whether adding an artificial intelligence (AI) system to breast
ultrasound (US) can reduce unnecessary biopsies. Methods Conventional US and AI …

[HTML][HTML] Application of computer-aided diagnosis in breast ultrasound interpretation: improvements in diagnostic performance according to reader experience

JH Choi, BJ Kang, JE Baek, HS Lee, SH Kim - Ultrasonography, 2018 - ncbi.nlm.nih.gov
Purpose The purpose of this study was to evaluate the usefulness of applying computer-
aided diagnosis (CAD) to breast ultrasound (US), depending on the reader's experience …

[HTML][HTML] Deep learning in different ultrasound methods for breast cancer, from diagnosis to prognosis: current trends, challenges, and an analysis

H Afrin, NB Larson, M Fatemi, A Alizad - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is one of the leading causes of cancer death among women.
Ultrasound is a harmless imaging modality used to help make decisions about who should …

Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool

M Di Segni, V de Soccio, V Cantisani, G Bonito… - Journal of …, 2018 - Springer
Purpose To assess the diagnostic performance and the potential as a teaching tool of S-
detect in the assessment of focal breast lesions. Methods 61 patients (age 21–84 years) with …

Artificial intelligence for breast US

JC Villa-Camacho, M Baikpour… - Journal of Breast …, 2023 - academic.oup.com
US is a widely available, commonly used, and indispensable imaging modality for breast
evaluation. It is often the primary imaging modality for the detection and diagnosis of breast …