Detalhe da pesquisa
1.
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases.
J Digit Imaging
; 36(4): 1541-1552, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37253894
2.
Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithms.
Clin Endocrinol (Oxf)
; 96(4): 646-652, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34642976
3.
Global and local shape features of the hippocampus based on Laplace-Beltrami eigenvalues and eigenfunctions: a potential application in the lateralization of temporal lobe epilepsy.
Neurol Sci
; 43(9): 5543-5552, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-35732961
4.
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts.
J Digit Imaging
; 35(5): 1164-1175, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35484439
5.
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study.
J Digit Imaging
; 32(5): 702-712, 2019 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30719586
6.
Computer-extracted global radiomic features can predict the radiologists' first impression about the abnormality of a screening mammogram.
Br J Radiol
; 97(1153): 168-179, 2024 Jan 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-38263826
7.
AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions.
Sci Rep
; 14(1): 11893, 2024 05 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-38789575
8.
Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers.
Aust Health Rev
; 48(3): 299-311, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38692648
9.
Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration.
Cancers (Basel)
; 16(2)2024 Jan 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-38254813
10.
Mammographic density and other risk factors for breast cancer among women in China.
Breast J
; 24(3): 426-428, 2018 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-29193600
11.
Investigating the impact of cognitive biases in radiologists' image interpretation: A scoping review.
Eur J Radiol
; 166: 111013, 2023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-37541180
12.
The use of radiomics in magnetic resonance imaging for the pre-treatment characterisation of breast cancers: A scoping review.
J Med Radiat Sci
; 70(4): 462-478, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37534540
13.
Using Radiomics-Based Machine Learning to Create Targeted Test Sets to Improve Specific Mammography Reader Cohort Performance: A Feasibility Study.
J Pers Med
; 13(6)2023 May 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-37373877
14.
Incidence, mortality, survival, and disease burden of breast cancer in China compared to other developed countries.
Asia Pac J Clin Oncol
; 19(6): 645-654, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37026375
15.
Do Reader Characteristics Affect Diagnostic Efficacy in Screening Mammography? A Systematic Review.
Clin Breast Cancer
; 23(3): e56-e67, 2023 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36792458
16.
Associations of Breast Arterial Calcifications with Cardiovascular Disease.
J Womens Health (Larchmt)
; 32(5): 529-545, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36930147
17.
Forecasting and Optimizing Dual Media Filter Performance via Machine Learning.
Water Res
; 235: 119874, 2023 May 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-36947925
18.
Reliability of radiologists' first impression when interpreting a screening mammogram.
PLoS One
; 18(4): e0284605, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37098013
19.
Mammography-based Radiomics in Breast Cancer: A Scoping Review of Current Knowledge and Future Needs.
Acad Radiol
; 29(8): 1228-1247, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-34799256
20.
A machine learning model based on readers' characteristics to predict their performances in reading screening mammograms.
Breast Cancer
; 29(4): 589-598, 2022 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-35122217