Detalles de la búsqueda
1.
Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models.
Radiology
; 311(1): e232057, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-38591974
2.
A pre-treatment CT-based weighted radiomic approach combined with clinical characteristics to predict durable clinical benefits of immunotherapy in advanced lung cancer.
Eur Radiol
; 33(6): 3918-3930, 2023 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-36515714
3.
[CT-Based Weighted Radiomic Score Predicts Tumor Response to Immunotherapy in Non-Small Cell Lung Cancer].
Zhongguo Yi Xue Ke Xue Yuan Xue Bao
; 45(5): 794-802, 2023 Oct.
Artículo
en Zh
| MEDLINE | ID: mdl-37674467
4.
Individualized nomogram for predicting ALK rearrangement status in lung adenocarcinoma patients.
Eur Radiol
; 31(4): 2034-2047, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-33146791
5.
Time-dependent CT score-based model for identifying severe/critical COVID-19 at a fever clinic after the emergence of Omicron variant.
Heliyon
; 10(7): e27963, 2024 Apr 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-38586383
6.
A Multi-Dataset Evaluation of Frame Censoring for Motion Correction in Task-Based fMRI.
Apert Neuro
; 2: 1-25, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36162001
7.
A Multi-Classification Model for Predicting the Invasiveness of Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodules.
Front Oncol
; 12: 800811, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35574301
8.
Hybrid Clinical-Radiomics Model for Precisely Predicting the Invasiveness of Lung Adenocarcinoma Manifesting as Pure Ground-Glass Nodule.
Acad Radiol
; 28(9): e267-e277, 2021 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-32534967
9.
Clinical, Conventional CT and Radiomic Feature-Based Machine Learning Models for Predicting ALK Rearrangement Status in Lung Adenocarcinoma Patients.
Front Oncol
; 10: 369, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32266148
Resultados
1 -
9
de 9
1
Próxima >
>>