Predicting cancer outcomes with radiomics and artificial intelligence in radiology

K Bera, N Braman, A Gupta, V Velcheti… - Nature reviews Clinical …, 2022 - nature.com
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …

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 …

Application of the computer vision system for evaluation of pathomorphological images

V Gargin, R Radutny, G Titova, D Bibik… - 2020 IEEE 40th …, 2020 - ieeexplore.ieee.org
Work of medical personal with images is one of sought-after skill with insufficient amount of
specialists that realized in their overloading and possible. In that connection purpose of our …

Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment

H Taleghamar, H Moghadas-Dastjerdi, GJ Czarnota… - Scientific Reports, 2021 - nature.com
The efficacy of quantitative ultrasound (QUS) multi-parametric imaging in conjunction with
unsupervised classification algorithms was investigated for the first time in characterizing …

A narrative review of ultrasound technologies for the prediction of neoadjuvant chemotherapy response in breast cancer

J Wang, Y Chu, B Wang, T Jiang - Cancer Management and …, 2021 - Taylor & Francis
The incidence and mortality rate of breast cancer (BC) in women currently ranks first
worldwide, and neoadjuvant chemotherapy (NAC) is widely used in patients with BC. A …

Recent advances in ultrasound breast imaging: from industry to clinical practice

O Catalano, R Fusco, F De Muzio, I Simonetti… - Diagnostics, 2023 - mdpi.com
Breast ultrasound (US) has undergone dramatic technological improvement through recent
decades, moving from a low spatial resolution, grayscale-limited technique to a highly …

Artificial intelligence medical ultrasound equipment: application of breast lesions detection

X Zhang, X Lin, Z Zhang, L Dong, X Sun… - Ultrasonic …, 2020 - journals.sagepub.com
Breast cancer ranks first among cancers affecting women's health. Our work aims to realize
the intelligence of the medical ultrasound equipment with limited computational capability …

Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review

B Elsayed, A Alksas, M Shehata, A Mahmoud, M Zaky… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is considered as the most common malignancy among
females, and its treatment takes many forms and types. Neoadjuvant chemotherapy (NACT) …

[HTML][HTML] Big data to knowledge: application of machine learning to predictive modeling of therapeutic response in cancer

S Panja, S Rahem, CJ Chu, A Mitrofanova - Current genomics, 2021 - ncbi.nlm.nih.gov
Background In recent years, the availability of high throughput technologies, establishment
of large molecular patient data repositories, and advancement in computing power and …

Quantitative ultrasound for evaluation of tumour response to ultrasound-microbubbles and hyperthermia

D Sharma, H Carter, L Sannachi… - … in Cancer Research …, 2023 - journals.sagepub.com
Objectives: Prior study has demonstrated the implementation of quantitative ultrasound
(QUS) for determining the therapy response in breast tumour patients. Several QUS …