63 related articles for article (PubMed ID: 38488408)
1. Multitask deep learning for prediction of microvascular invasion and recurrence-free survival in hepatocellular carcinoma based on MRI images.
Wang F; Zhan G; Chen QQ; Xu HY; Cao D; Zhang YY; Li YH; Zhang CJ; Jin Y; Ji WB; Ma JB; Yang YJ; Zhou W; Peng ZY; Liang X; Deng LP; Lin LF; Chen YW; Hu HJ
Liver Int; 2024 Jun; 44(6):1351-1362. PubMed ID: 38436551
[TBL] [Abstract][Full Text] [Related]
2. Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence.
Heo S; Park HJ; Lee SS
Korean J Radiol; 2024 Jun; 25(6):550-558. PubMed ID: 38807336
[TBL] [Abstract][Full Text] [Related]
3. Deep learning classification and quantification of pejorative and non-pejorative architectures in resected hepatocellular carcinoma from digital histopathological images.
Laurent-Bellue A; Sadraoui A; Claude L; Calderaro J; Posseme K; Vibert E; Cherqui D; Rosmorduc O; Lewin M; Pesquet JC; Guettier C
Am J Pathol; 2024 Jun; ():. PubMed ID: 38879083
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning-Based H-Score Quantification of Immunohistochemistry-Stained Images.
Wen Z; Luo D; Wang S; Rong R; Evers BM; Jia L; Fang Y; Daoud EV; Yang S; Gu Z; Arner EN; Lewis CM; Solis Soto LM; Fujimoto J; Behrens C; Wistuba II; Yang DM; Brekken RA; O'Donnell KA; Xie Y; Xiao G
Mod Pathol; 2024 Feb; 37(2):100398. PubMed ID: 38043788
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning Models of Multi-Scale Lesion Perception Attention Networks for Diagnosis and Staging of Pneumoconiosis: A Comparative Study with Radiologists.
Wang Y; Yan W; Feng Y; Qian F; Zhang T; Huang X; Wang D; Hu M
J Imaging Inform Med; 2024 Jun; ():. PubMed ID: 38839674
[TBL] [Abstract][Full Text] [Related]
6. Deep learning model for differentiating acute myeloid and lymphoblastic leukemia in peripheral blood cell images via myeloblast and lymphoblast classification.
Park S; Park YH; Huh J; Baik SM; Park DJ
Digit Health; 2024; 10():20552076241258079. PubMed ID: 38812848
[TBL] [Abstract][Full Text] [Related]
7. Advancing Automatic Gastritis Diagnosis: An Interpretable Multilabel Deep Learning Framework for the Simultaneous Assessment of Multiple Indicators.
Ma M; Zeng X; Qu L; Sheng X; Ren H; Chen W; Li B; You Q; Xiao L; Wang Y; Dai M; Zhang B; Lu C; Sheng W; Huang D
Am J Pathol; 2024 May; ():. PubMed ID: 38762117
[TBL] [Abstract][Full Text] [Related]
8. Deep learning and digital pathology powers prediction of HCC development in steatotic liver disease.
Nakatsuka T; Tateishi R; Sato M; Hashizume N; Kamada A; Nakano H; Kabeya Y; Yonezawa S; Irie R; Tsujikawa H; Sumida Y; Yoneda M; Akuta N; Kawaguchi T; Takahashi H; Eguchi Y; Seko Y; Itoh Y; Murakami E; Chayama K; Taniai M; Tokushige K; Okanoue T; Sakamoto M; Fujishiro M; Koike K
Hepatology; 2024 May; ():. PubMed ID: 38768142
[TBL] [Abstract][Full Text] [Related]
9. Significance of presence of microvascular invasion in specimens obtained after surgical treatment of hepatocellular carcinoma.
Zhang X; Li J; Shen F; Lau WY
J Gastroenterol Hepatol; 2018 Feb; 33(2):347-354. PubMed ID: 28589639
[TBL] [Abstract][Full Text] [Related]
10. Deep learning in cancer genomics and histopathology.
Unger M; Kather JN
Genome Med; 2024 Mar; 16(1):44. PubMed ID: 38539231
[TBL] [Abstract][Full Text] [Related]
11. Deep learning-based accurate diagnosis and quantitative evaluation of microvascular invasion in hepatocellular carcinoma on whole-slide histopathology images.
Zhang X; Yu X; Liang W; Zhang Z; Zhang S; Xu L; Zhang H; Feng Z; Song M; Zhang J; Feng S
Cancer Med; 2024 Mar; 13(5):e7104. PubMed ID: 38488408
[TBL] [Abstract][Full Text] [Related]
12. A deep learning model with incorporation of microvascular invasion area as a factor in predicting prognosis of hepatocellular carcinoma after R0 hepatectomy.
Wang K; Xiang Y; Yan J; Zhu Y; Chen H; Yu H; Cheng Y; Li X; Dong W; Ji Y; Li J; Xie D; Lau WY; Yao J; Cheng S
Hepatol Int; 2022 Oct; 16(5):1188-1198. PubMed ID: 36001229
[TBL] [Abstract][Full Text] [Related]
13. Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images.
Chen Q; Xiao H; Gu Y; Weng Z; Wei L; Li B; Liao B; Li J; Lin J; Hei M; Peng S; Wang W; Kuang M; Chen S
Hepatol Int; 2022 Jun; 16(3):590-602. PubMed ID: 35349075
[TBL] [Abstract][Full Text] [Related]
14. Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.
Song D; Wang Y; Wang W; Wang Y; Cai J; Zhu K; Lv M; Gao Q; Zhou J; Fan J; Rao S; Wang M; Wang X
J Cancer Res Clin Oncol; 2021 Dec; 147(12):3757-3767. PubMed ID: 33839938
[TBL] [Abstract][Full Text] [Related]
15. An Eastern Hepatobiliary Surgery Hospital Microvascular Invasion Scoring System in Predicting Prognosis of Patients with Hepatocellular Carcinoma and Microvascular Invasion After R0 Liver Resection: A Large-Scale, Multicenter Study.
Zhang XP; Wang K; Wei XB; Li LQ; Sun HC; Wen TF; Chai ZT; Chen ZH; Shi J; Guo WX; Xie D; Cong WM; Wu MC; Lau WY; Cheng SQ
Oncologist; 2019 Dec; 24(12):e1476-e1488. PubMed ID: 31138726
[TBL] [Abstract][Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No 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]