120 related articles for article (PubMed ID: 37672979)
41. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
Xiang J; Wang X; Wang X; Zhang J; Yang S; Yang W; Han X; Liu Y
Comput Biol Med; 2023 Jan; 152():106340. PubMed ID: 36481762
[TBL] [Abstract][Full Text] [Related]
42. Light mixed-supervised segmentation for 3D medical image data.
Yang H; Tan T; Tegzes P; Dong X; Tamada R; Ferenczi L; Avinash G
Med Phys; 2024 Jan; 51(1):167-178. PubMed ID: 37909833
[TBL] [Abstract][Full Text] [Related]
43. Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67.
Zhang X; Cornish TC; Yang L; Bennett TD; Ghosh D; Xing F
JCO Clin Cancer Inform; 2020 Jul; 4():666-679. PubMed ID: 32730116
[TBL] [Abstract][Full Text] [Related]
44. Self-mentoring: A new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation.
Deleruyelle A; Versari C; Klein J
Comput Biol Med; 2023 Jan; 152():106454. PubMed ID: 36566624
[TBL] [Abstract][Full Text] [Related]
45. Self-supervised patient-specific features learning for OCT image classification.
Fang L; Guo J; He X; Li M
Med Biol Eng Comput; 2022 Oct; 60(10):2851-2863. PubMed ID: 35931872
[TBL] [Abstract][Full Text] [Related]
46. Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey.
Jing L; Tian Y
IEEE Trans Pattern Anal Mach Intell; 2021 Nov; 43(11):4037-4058. PubMed ID: 32386141
[TBL] [Abstract][Full Text] [Related]
47. Annotation-efficient deep learning for automatic medical image segmentation.
Wang S; Li C; Wang R; Liu Z; Wang M; Tan H; Wu Y; Liu X; Sun H; Yang R; Liu X; Chen J; Zhou H; Ben Ayed I; Zheng H
Nat Commun; 2021 Oct; 12(1):5915. PubMed ID: 34625565
[TBL] [Abstract][Full Text] [Related]
48. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
Enguehard J; O'Halloran P; Gholipour A
IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
[TBL] [Abstract][Full Text] [Related]
49. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
Bajwa MN; Malik MI; Siddiqui SA; Dengel A; Shafait F; Neumeier W; Ahmed S
BMC Med Inform Decis Mak; 2019 Jul; 19(1):136. PubMed ID: 31315618
[TBL] [Abstract][Full Text] [Related]
50. Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study.
Guo Y; He Y; Lyu J; Zhou Z; Yang D; Ma L; Tan HT; Chen C; Zhang W; Hu J; Han D; Ding G; Liu S; Qiao H; Xu F; Lou X; Dai Q
Lancet Digit Health; 2022 Aug; 4(8):e584-e593. PubMed ID: 35725824
[TBL] [Abstract][Full Text] [Related]
51. DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer.
Schirris Y; Gavves E; Nederlof I; Horlings HM; Teuwen J
Med Image Anal; 2022 Jul; 79():102464. PubMed ID: 35596966
[TBL] [Abstract][Full Text] [Related]
52. Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia.
Durrani N; Vukovic D; van der Burgt J; Antico M; van Sloun RJG; Canty D; Steffens M; Wang A; Royse A; Royse C; Haji K; Dowling J; Chetty G; Fontanarosa D
Sci Rep; 2022 Oct; 12(1):17581. PubMed ID: 36266463
[TBL] [Abstract][Full Text] [Related]
53. Automatic T Staging Using Weakly Supervised Deep Learning for Nasopharyngeal Carcinoma on MR Images.
Yang Q; Guo Y; Ou X; Wang J; Hu C
J Magn Reson Imaging; 2020 Oct; 52(4):1074-1082. PubMed ID: 32583578
[TBL] [Abstract][Full Text] [Related]
54. Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images.
Kurita Y; Meguro S; Tsuyama N; Kosugi I; Enomoto Y; Kawasaki H; Uemura T; Kimura M; Iwashita T
PLoS One; 2023; 18(5):e0285996. PubMed ID: 37200281
[TBL] [Abstract][Full Text] [Related]
55. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
[TBL] [Abstract][Full Text] [Related]
56. Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.
Maynord M; Farhangi MM; Fermüller C; Aloimonos Y; Levine G; Petrick N; Sahiner B; Pezeshk A
Med Phys; 2023 Jul; 50(7):4255-4268. PubMed ID: 36630691
[TBL] [Abstract][Full Text] [Related]
57. DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data.
Cheng L; Karkhanis P; Gokbag B; Liu Y; Li L
PLoS Comput Biol; 2022 Apr; 18(4):e1008885. PubMed ID: 35404970
[TBL] [Abstract][Full Text] [Related]
58. Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry.
Kataria T; Rajamani S; Ayubi AB; Bronner M; Jedrzkiewicz J; Knudsen BS; Elhabian SY
Mod Pathol; 2023 Dec; 36(12):100331. PubMed ID: 37716506
[TBL] [Abstract][Full Text] [Related]
59. Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.
Osman YBM; Li C; Huang W; Wang S
J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38156427
[TBL] [Abstract][Full Text] [Related]
60. Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection.
Carrillo-Perez F; Ortuno FM; Börjesson A; Rojas I; Herrera LJ
Cancer Imaging; 2023 Jun; 23(1):66. PubMed ID: 37365659
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]