[HTML][HTML] A primer for understanding radiology articles about machine learning and deep learning

T Nakaura, T Higaki, K Awai, O Ikeda… - … and Interventional Imaging, 2020 - Elsevier
The application of machine learning and deep learning in the field of imaging is rapidly
growing. Although the principles of machine and deep learning are unfamiliar to the majority …

Gastric coagulation and postprandial amino acid absorption of milk is affected by mineral composition: a randomized crossover trial

EJM van Eijnatten, JJM Roelofs, G Camps… - Food & Function, 2024 - pubs.rsc.org
Background: In vitro studies suggest that casein coagulation of milk is influenced by its
mineral composition, and may therefore affect the dynamics of protein digestion, gastric …

Milk coagulation and gastric emptying in women experiencing gastrointestinal symptoms after ingestion of cow's milk

EJM van Eijnatten, G Camps… - …, 2024 - Wiley Online Library
Background Gastrointestinal symptoms after drinking milk are often attributed to lactose
intolerance or cow's milk allergy. However, some individuals without either condition still …

[HTML][HTML] Gastric emptying and nutrient absorption of pea protein products differing in heat treatment and texture: a randomized in vivo crossover trial and in vitro …

JJM Roelofs, EJM van Eijnatten, P Prathumars… - Food …, 2024 - Elsevier
Pea protein is an interesting alternative for animal-based proteins due to its good
availability, low cost, and relatively balanced amino acid (AA) profile. Its digestibility may be …

MRI radiomics for the prediction of Fuhrman grade in clear cell renal cell carcinoma: a machine learning exploratory study

A Stanzione, C Ricciardi, R Cuocolo, V Romeo… - Journal of digital …, 2020 - Springer
The Fuhrman nuclear grade is a recognized prognostic factor for patients with clear cell
renal cell carcinoma (CCRCC) and its pre-treatment evaluation significantly affects decision …

CNN-Wavelet scattering textural feature fusion for classifying breast tissue in mammograms

NF Razali, IS Isa, SN Sulaiman, NKA Karim… - … Signal Processing and …, 2023 - Elsevier
Visual interpretation from radiologists employs computer-aided diagnosis (CAD) to make
clinical diagnoses by analyzing breast tissue images and assessing their texture. Aside from …

A review of the imaging manifestations of immune check point inhibitor toxicities

R Thomas, B Sebastian, T George, NF Majeed… - Clinical Imaging, 2020 - Elsevier
The past decade has witnessed a paradigm shift in cancer therapy owing to the introduction
of immune checkpoint inhibitors (ICIs) and it is now commonplace for radiologists to image …

Decoding incidental ovarian lesions: use of texture analysis and machine learning for characterization and detection of malignancy

H Park, L Qin, P Guerra, CP Bay, AB Shinagare - Abdominal Radiology, 2021 - Springer
Purpose To compare CT texture features of benign and malignant ovarian lesions and to
build a machine learning model to detect malignancy in incidental ovarian lesions. Methods …

Radiogenomics reveals correlation between quantitative texture radiomic features of biparametric MRI and hypoxia-related gene expression in men with localised …

CN Ogbonnaya, BSO Alsaedi, AJ Alhussaini… - Journal of Clinical …, 2023 - mdpi.com
Objectives: To perform multiscale correlation analysis between quantitative texture feature
phenotypes of pre-biopsy biparametric MRI (bpMRI) and targeted sequence-based RNA …

[HTML][HTML] Updates on Imaging of Common Urogenital Neoplasms

AC Tsili - Cancers, 2024 - mdpi.com
Urogenital neoplasms represent some of the most common malignancies. Advances in
imaging have given radiologists an increasingly significant role in the diagnosis, staging …