136 related articles for article (PubMed ID: 36257091)
1. Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network.
Lu X; Zhang S; Liu Z; Liu S; Huang J; Kong G; Li M; Liang Y; Cui Y; Yang C; Zhao S
Comput Med Imaging Graph; 2022 Dec; 102():102125. PubMed ID: 36257091
[TBL] [Abstract][Full Text] [Related]
2. Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.
Li W; Li J; Sarma KV; Ho KC; Shen S; Knudsen BS; Gertych A; Arnold CW
IEEE Trans Med Imaging; 2019 Apr; 38(4):945-954. PubMed ID: 30334752
[TBL] [Abstract][Full Text] [Related]
3. Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection.
Silva-Rodríguez J; Colomer A; Sales MA; Molina R; Naranjo V
Comput Methods Programs Biomed; 2020 Oct; 195():105637. PubMed ID: 32653747
[TBL] [Abstract][Full Text] [Related]
4. A deep learning network for Gleason grading of prostate biopsies using EfficientNet.
Ramamurthy K; Varikuti AR; Gupta B; Aswani N
Biomed Tech (Berl); 2023 Apr; 68(2):187-198. PubMed ID: 36332194
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation.
Karimi D; Nir G; Fazli L; Black PC; Goldenberg L; Salcudean SE
IEEE J Biomed Health Inform; 2020 May; 24(5):1413-1426. PubMed ID: 31567104
[TBL] [Abstract][Full Text] [Related]
6. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.
Bulten W; Pinckaers H; van Boven H; Vink R; de Bel T; van Ginneken B; van der Laak J; Hulsbergen-van de Kaa C; Litjens G
Lancet Oncol; 2020 Feb; 21(2):233-241. PubMed ID: 31926805
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Development and Validation of an Artificial Intelligence-Powered Platform for Prostate Cancer Grading and Quantification.
Huang W; Randhawa R; Jain P; Iczkowski KA; Hu R; Hubbard S; Eickhoff J; Basu H; Roy R
JAMA Netw Open; 2021 Nov; 4(11):e2132554. PubMed ID: 34730818
[TBL] [Abstract][Full Text] [Related]
9. Development of a Deep Learning Algorithm for the Histopathologic Diagnosis and Gleason Grading of Prostate Cancer Biopsies: A Pilot Study.
Kott O; Linsley D; Amin A; Karagounis A; Jeffers C; Golijanin D; Serre T; Gershman B
Eur Urol Focus; 2021 Mar; 7(2):347-351. PubMed ID: 31767543
[TBL] [Abstract][Full Text] [Related]
10. WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images.
Silva-Rodríguez J; Colomer A; Naranjo V
Comput Med Imaging Graph; 2021 Mar; 88():101846. PubMed ID: 33485056
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images.
Nir G; Karimi D; Goldenberg SL; Fazli L; Skinnider BF; Tavassoli P; Turbin D; Villamil CF; Wang G; Thompson DJS; Black PC; Salcudean SE
JAMA Netw Open; 2019 Mar; 2(3):e190442. PubMed ID: 30848813
[TBL] [Abstract][Full Text] [Related]
12. Exploring automatic prostate histopathology image Gleason grading via local structure modeling.
Wang D; Foran DJ; Ren J; Zhong H; Kim IY; Qi X
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():2649-52. PubMed ID: 26736836
[TBL] [Abstract][Full Text] [Related]
13. A systematic comparison of deep learning methods for Gleason grading and scoring.
Dominguez-Morales JP; Duran-Lopez L; Marini N; Vicente-Diaz S; Linares-Barranco A; Atzori M; Müller H
Med Image Anal; 2024 Jul; 95():103191. PubMed ID: 38728903
[TBL] [Abstract][Full Text] [Related]
14. Dual attention guided multiscale neural network trained with curriculum learning for noninvasive prediction of Gleason Grade Group from MRI.
Hu J; Shen A; Qiao X; Zhou Z; Qian X; Zheng Y; Bao J; Wang X; Dai Y
Med Phys; 2023 Apr; 50(4):2279-2289. PubMed ID: 36412164
[TBL] [Abstract][Full Text] [Related]
15. Automatic Prostate Gleason Grading Using Pyramid Semantic Parsing Network in Digital Histopathology.
Qiu Y; Hu Y; Kong P; Xie H; Zhang X; Cao J; Wang T; Lei B
Front Oncol; 2022; 12():772403. PubMed ID: 35463378
[TBL] [Abstract][Full Text] [Related]
16. ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans.
Duran A; Dussert G; Rouvière O; Jaouen T; Jodoin PM; Lartizien C
Med Image Anal; 2022 Apr; 77():102347. PubMed ID: 35085952
[TBL] [Abstract][Full Text] [Related]
17. Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images.
Xu H; Park S; Hwang TH
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(6):1871-1882. PubMed ID: 31536012
[TBL] [Abstract][Full Text] [Related]
18. Hybrid Unified Deep Learning Network for Highly Precise Gleason Grading of Prostate Cancer.
Poojitha UP; Lal Sharma S
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():899-903. PubMed ID: 31946039
[TBL] [Abstract][Full Text] [Related]
19. Automated gleason grading on prostate biopsy slides by statistical representations of homology profile.
Yan C; Nakane K; Wang X; Fu Y; Lu H; Fan X; Feldman MD; Madabhushi A; Xu J
Comput Methods Programs Biomed; 2020 Oct; 194():105528. PubMed ID: 32470903
[TBL] [Abstract][Full Text] [Related]
20. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]