50 related articles for article (PubMed ID: 38760506)
1. Deep learning driven diagnosis of malignant soft tissue tumors based on dual-modal ultrasound images and clinical indexes.
Xie H; Zhang Y; Dong L; Lv H; Li X; Zhao C; Tian Y; Xie L; Wu W; Yang Q; Liu L; Sun D; Qiu L; Shen L; Zhang Y
Front Oncol; 2024; 14():1361694. PubMed ID: 38846984
[TBL] [Abstract][Full Text] [Related]
2. XMR: an explainable multimodal neural network for drug response prediction.
Wang Z; Zhou Y; Zhang Y; Mo YK; Wang Y
Front Bioinform; 2023; 3():1164482. PubMed ID: 37600972
[No Abstract] [Full Text] [Related]
3. Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study.
Yin Z; Kuang Z; Zhang H; Guo Y; Li T; Wu Z; Wang L
JMIR Med Inform; 2024 Jun; 12():e57678. PubMed ID: 38857077
[TBL] [Abstract][Full Text] [Related]
4. Deep learning models for interpretation of point of care ultrasound in military working dogs.
Hernandez Torres SI; Holland L; Edwards TH; Venn EC; Snider EJ
Front Vet Sci; 2024; 11():1374890. PubMed ID: 38903685
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.
Luo L; Wang X; Lin Y; Ma X; Tan A; Chan R; Vardhanabhuti V; Chu WC; Cheng KT; Chen H
IEEE Rev Biomed Eng; 2024 Jan; PP():. PubMed ID: 38265911
[TBL] [Abstract][Full Text] [Related]
6. A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis.
Yan L; Liang Z; Zhang H; Zhang G; Zheng W; Han C; Yu D; Zhang H; Xie X; Liu C; Zhang W; Zheng H; Pei J; Shen D; Qian X
Commun Med (Lond); 2024 May; 4(1):90. PubMed ID: 38760506
[TBL] [Abstract][Full Text] [Related]
7. Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study.
Liao J; Gui Y; Li Z; Deng Z; Han X; Tian H; Cai L; Liu X; Tang C; Liu J; Wei Y; Hu L; Niu F; Liu J; Yang X; Li S; Cui X; Wu X; Chen Q; Wan A; Jiang J; Zhang Y; Luo X; Wang P; Cai Z; Chen L
EClinicalMedicine; 2023 Jun; 60():102001. PubMed ID: 37251632
[TBL] [Abstract][Full Text] [Related]
8. Differentiating non-lactating mastitis and malignant breast tumors by deep-learning based AI automatic classification system: A preliminary study.
Zhou Y; Feng BJ; Yue WW; Liu Y; Xu ZF; Xing W; Xu Z; Yao JC; Wang SR; Xu D
Front Oncol; 2022; 12():997306. PubMed ID: 36185190
[TBL] [Abstract][Full Text] [Related]
9. Deep learning diagnostic performance and visual insights in differentiating benign and malignant thyroid nodules on ultrasound images.
Liu Y; Feng Y; Qian L; Wang Z; Hu X
Exp Biol Med (Maywood); 2023 Dec; 248(24):2538-2546. PubMed ID: 38279511
[TBL] [Abstract][Full Text] [Related]
10. A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.
Liu H; Chen Y; Zhang Y; Wang L; Luo R; Wu H; Wu C; Zhang H; Tan W; Yin H; Wang D
Eur Radiol; 2021 Aug; 31(8):5902-5912. PubMed ID: 33496829
[TBL] [Abstract][Full Text] [Related]
11. From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment.
Swanson K; Wu E; Zhang A; Alizadeh AA; Zou J
Cell; 2023 Apr; 186(8):1772-1791. PubMed ID: 36905928
[TBL] [Abstract][Full Text] [Related]
12. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead.
Rudin C
Nat Mach Intell; 2019 May; 1(5):206-215. PubMed ID: 35603010
[TBL] [Abstract][Full Text] [Related]
13. Cancer statistics, 2022.
Siegel RL; Miller KD; Fuchs HE; Jemal A
CA Cancer J Clin; 2022 Jan; 72(1):7-33. PubMed ID: 35020204
[TBL] [Abstract][Full Text] [Related]
14. Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.
Arun N; Gaw N; Singh P; Chang K; Aggarwal M; Chen B; Hoebel K; Gupta S; Patel J; Gidwani M; Adebayo J; Li MD; Kalpathy-Cramer J
Radiol Artif Intell; 2021 Nov; 3(6):e200267. PubMed ID: 34870212
[TBL] [Abstract][Full Text] [Related]
15. SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image.
Ning Z; Zhong S; Feng Q; Chen W; Zhang Y
IEEE Trans Med Imaging; 2022 Feb; 41(2):476-490. PubMed ID: 34582349
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.
Shen Y; Shamout FE; Oliver JR; Witowski J; Kannan K; Park J; Wu N; Huddleston C; Wolfson S; Millet A; Ehrenpreis R; Awal D; Tyma C; Samreen N; Gao Y; Chhor C; Gandhi S; Lee C; Kumari-Subaiya S; Leonard C; Mohammed R; Moczulski C; Altabet J; Babb J; Lewin A; Reig B; Moy L; Heacock L; Geras KJ
Nat Commun; 2021 Sep; 12(1):5645. PubMed ID: 34561440
[TBL] [Abstract][Full Text] [Related]
17. Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.
Qian X; Pei J; Zheng H; Xie X; Yan L; Zhang H; Han C; Gao X; Zhang H; Zheng W; Sun Q; Lu L; Shung KK
Nat Biomed Eng; 2021 Jun; 5(6):522-532. PubMed ID: 33875840
[TBL] [Abstract][Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
