179 related articles for article (PubMed ID: 30081241)
1. Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach.
Van Eycke YR; Balsat C; Verset L; Debeir O; Salmon I; Decaestecker C
Med Image Anal; 2018 Oct; 49():35-45. PubMed ID: 30081241
[TBL] [Abstract][Full Text] [Related]
2. Classification of Histologic Images Using a Single Staining: Experiments with Deep Learning on Deconvolved Images.
Della Mea V; Pilutti D
Stud Health Technol Inform; 2020 Jun; 270():1223-1224. PubMed ID: 32570590
[TBL] [Abstract][Full Text] [Related]
3. Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
Bulten W; Bándi P; Hoven J; Loo RV; Lotz J; Weiss N; Laak JV; Ginneken BV; Hulsbergen-van de Kaa C; Litjens G
Sci Rep; 2019 Jan; 9(1):864. PubMed ID: 30696866
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.
Graham S; Chen H; Gamper J; Dou Q; Heng PA; Snead D; Tsang YW; Rajpoot N
Med Image Anal; 2019 Feb; 52():199-211. PubMed ID: 30594772
[TBL] [Abstract][Full Text] [Related]
6. Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.
Khameneh FD; Razavi S; Kamasak M
Comput Biol Med; 2019 Jul; 110():164-174. PubMed ID: 31163391
[TBL] [Abstract][Full Text] [Related]
7. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
Fassler DJ; Abousamra S; Gupta R; Chen C; Zhao M; Paredes D; Batool SA; Knudsen BS; Escobar-Hoyos L; Shroyer KR; Samaras D; Kurc T; Saltz J
Diagn Pathol; 2020 Jul; 15(1):100. PubMed ID: 32723384
[TBL] [Abstract][Full Text] [Related]
8. Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome.
Weis CA; Kather JN; Melchers S; Al-Ahmdi H; Pollheimer MJ; Langner C; Gaiser T
Diagn Pathol; 2018 Aug; 13(1):64. PubMed ID: 30153844
[TBL] [Abstract][Full Text] [Related]
9. Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images.
Mouelhi A; Rmili H; Ali JB; Sayadi M; Doghri R; Mrad K
Comput Methods Programs Biomed; 2018 Oct; 165():37-51. PubMed ID: 30337080
[TBL] [Abstract][Full Text] [Related]
10. Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.
Rana A; Lowe A; Lithgow M; Horback K; Janovitz T; Da Silva A; Tsai H; Shanmugam V; Bayat A; Shah P
JAMA Netw Open; 2020 May; 3(5):e205111. PubMed ID: 32432709
[TBL] [Abstract][Full Text] [Related]
11. Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map.
Naylor P; Lae M; Reyal F; Walter T
IEEE Trans Med Imaging; 2019 Feb; 38(2):448-459. PubMed ID: 30716022
[TBL] [Abstract][Full Text] [Related]
12. Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks.
Sheikhzadeh F; Ward RK; van Niekerk D; Guillaud M
PLoS One; 2018; 13(1):e0190783. PubMed ID: 29351281
[TBL] [Abstract][Full Text] [Related]
13. Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers.
Shu J; Dolman GE; Duan J; Qiu G; Ilyas M
Biomed Eng Online; 2016 Apr; 15():46. PubMed ID: 27121383
[TBL] [Abstract][Full Text] [Related]
14. HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues.
Qaiser T; Mukherjee A; Reddy Pb C; Munugoti SD; Tallam V; Pitkäaho T; Lehtimäki T; Naughton T; Berseth M; Pedraza A; Mukundan R; Smith M; Bhalerao A; Rodner E; Simon M; Denzler J; Huang CH; Bueno G; Snead D; Ellis IO; Ilyas M; Rajpoot N
Histopathology; 2018 Jan; 72(2):227-238. PubMed ID: 28771788
[TBL] [Abstract][Full Text] [Related]
15. Automatic quantification of IHC stain in breast TMA using colour analysis.
Fernández-Carrobles MM; Bueno G; García-Rojo M; González-López L; López C; Déniz O
Comput Med Imaging Graph; 2017 Nov; 61():14-27. PubMed ID: 28648530
[TBL] [Abstract][Full Text] [Related]
16. Segmentation of histological images and fibrosis identification with a convolutional neural network.
Fu X; Liu T; Xiong Z; Smaill BH; Stiles MK; Zhao J
Comput Biol Med; 2018 Jul; 98():147-158. PubMed ID: 29793096
[TBL] [Abstract][Full Text] [Related]
17. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
18. Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features.
Qaiser T; Tsang YW; Taniyama D; Sakamoto N; Nakane K; Epstein D; Rajpoot N
Med Image Anal; 2019 Jul; 55():1-14. PubMed ID: 30991188
[TBL] [Abstract][Full Text] [Related]
19. Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium.
Abdelsamea MM; Grineviciute RB; Besusparis J; Cham S; Pitiot A; Laurinavicius A; Ilyas M
Histopathology; 2019 Jun; 74(7):1045-1054. PubMed ID: 30735268
[TBL] [Abstract][Full Text] [Related]
20. Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring.
Qaiser T; Rajpoot NM
IEEE Trans Med Imaging; 2019 Nov; 38(11):2620-2631. PubMed ID: 30908205
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]