154 related articles for article (PubMed ID: 35522787)
1. A deep learning-based approach for the diagnosis of adrenal adenoma: a new trial using CT.
Kusunoki M; Nakayama T; Nishie A; Yamashita Y; Kikuchi K; Eto M; Oda Y; Ishigami K
Br J Radiol; 2022 Jul; 95(1135):20211066. PubMed ID: 35522787
[TBL] [Abstract][Full Text] [Related]
2. Dual-energy CT in the differentiation between adrenal adenomas and metastases: Usefulness of material density maps and monochromatic images.
Cano Alonso R; Álvarez Vázquez A; Andreu Vázquez C; Thuissard Vasallo IJ; Fernández Alfonso A; Recio Rodríguez M; Martínez de Vega V
Radiologia (Engl Ed); 2023; 65(5):402-413. PubMed ID: 37758331
[TBL] [Abstract][Full Text] [Related]
3. Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics.
Xiao DX; Zhong JP; Peng JD; Fan CG; Wang XC; Wen XL; Liao WW; Wang J; Yin XF
BMC Med Imaging; 2023 Oct; 23(1):159. PubMed ID: 37845636
[TBL] [Abstract][Full Text] [Related]
4. Relationship Among Tumor Attenuation Value of Pre-contrast Computed Tomography (CT), Washout Rate and Constituent Cells in Adrenal Adenoma: Proposition of a New Approach for Diagnosing Adrenal Adenoma on Dynamic CT.
Nishie A; Sugimoto M; Asayama Y; Ishigami K; Ushijima Y; Takayama Y; Okamoto D; Fujita N; Yokomizo A; Tatsugami K; Honda H
Anticancer Res; 2018 Aug; 38(8):4767-4773. PubMed ID: 30061247
[TBL] [Abstract][Full Text] [Related]
5. Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.
Sasaki Y; Kondo Y; Aoki T; Koizumi N; Ozaki T; Seki H
Int J Comput Assist Radiol Surg; 2022 Sep; 17(9):1651-1661. PubMed ID: 35763149
[TBL] [Abstract][Full Text] [Related]
6. Deep learning approach for differentiating indeterminate adrenal masses using CT imaging.
Singh Y; Kelm ZS; Faghani S; Erickson D; Yalon T; Bancos I; Erickson BJ
Abdom Radiol (NY); 2023 Oct; 48(10):3189-3194. PubMed ID: 37369921
[TBL] [Abstract][Full Text] [Related]
7. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
8. Deep learning for staging liver fibrosis on CT: a pilot study.
Yasaka K; Akai H; Kunimatsu A; Abe O; Kiryu S
Eur Radiol; 2018 Nov; 28(11):4578-4585. PubMed ID: 29761358
[TBL] [Abstract][Full Text] [Related]
9. The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.
Mawatari T; Hayashida Y; Katsuragawa S; Yoshimatsu Y; Hamamura T; Anai K; Ueno M; Yamaga S; Ueda I; Terasawa T; Fujisaki A; Chihara C; Miyagi T; Aoki T; Korogi Y
Eur J Radiol; 2020 Sep; 130():109188. PubMed ID: 32721827
[TBL] [Abstract][Full Text] [Related]
10. Differentiating adrenal metastases from benign lesions with multiphase CT imaging: Deep learning could play an active role in assisting radiologists.
Ma C; Feng B; Lin F; Lei Y; Xu K; Cui J; Liu Y; Long W; Cui E
Eur J Radiol; 2023 Dec; 169():111169. PubMed ID: 37956572
[TBL] [Abstract][Full Text] [Related]
11. Adenoma characterization: adrenal protocol with dual-energy CT.
Kim YK; Park BK; Kim CK; Park SY
Radiology; 2013 Apr; 267(1):155-63. PubMed ID: 23329655
[TBL] [Abstract][Full Text] [Related]
12. A deep learning classifier for digital breast tomosynthesis.
Ricciardi R; Mettivier G; Staffa M; Sarno A; Acampora G; Minelli S; Santoro A; Antignani E; Orientale A; Pilotti IAM; Santangelo V; D'Andria P; Russo P
Phys Med; 2021 Mar; 83():184-193. PubMed ID: 33798904
[TBL] [Abstract][Full Text] [Related]
13. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
[TBL] [Abstract][Full Text] [Related]
14. Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study.
Yang Y; Cairang Y; Jiang T; Zhou J; Zhang L; Qi B; Ma S; Tang L; Xu D; Bu L; Bu R; Jing X; Wang H; Zhou Z; Zhao C; Luo B; Liu L; Guo J; Nima Y; Hua G; Wa Z; Zhang Y; Zhou G; Jiang W; Wang C; De Y; Yu X; Cheng Z; Han Z; Liu F; Dou J; Feng H; Wu C; Wang R; Hu J; Yang Q; Luo Y; Wu J; Fan H; Liang P; Yu J
Lancet Digit Health; 2023 Aug; 5(8):e503-e514. PubMed ID: 37507196
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
[TBL] [Abstract][Full Text] [Related]
16. U-Net based deep learning bladder segmentation in CT urography.
Ma X; Hadjiiski LM; Wei J; Chan HP; Cha KH; Cohan RH; Caoili EM; Samala R; Zhou C; Lu Y
Med Phys; 2019 Apr; 46(4):1752-1765. PubMed ID: 30734932
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer.
Joo MW; Ko T; Kim MS; Lee YS; Shin SH; Chung YG; Lee HK
Clin Orthop Relat Res; 2023 Nov; 481(11):2247-2256. PubMed ID: 37615504
[TBL] [Abstract][Full Text] [Related]
18. Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.
Ma X; Wei J; Zhou C; Helvie MA; Chan HP; Hadjiiski LM; Lu Y
Med Phys; 2019 May; 46(5):2103-2114. PubMed ID: 30771257
[TBL] [Abstract][Full Text] [Related]
19. Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.
Zhu H; Tong D; Zhang L; Wang S; Wu W; Tang H; Chen Y; Luo L; Zhu J; Li B
Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):193-201. PubMed ID: 31673961
[TBL] [Abstract][Full Text] [Related]
20. Dynamic contrast-enhanced computed tomography diagnosis of primary liver cancers using transfer learning of pretrained convolutional neural networks: Is registration of multiphasic images necessary?
Yamada A; Oyama K; Fujita S; Yoshizawa E; Ichinohe F; Komatsu D; Fujinaga Y
Int J Comput Assist Radiol Surg; 2019 Aug; 14(8):1295-1301. PubMed ID: 31054130
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]