286 related articles for article (PubMed ID: 33139755)
21. 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]
22. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
[TBL] [Abstract][Full Text] [Related]
23. A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.
Saednia K; Tran WT; Sadeghi-Naini A
Med Phys; 2023 Dec; 50(12):7852-7864. PubMed ID: 37403567
[TBL] [Abstract][Full Text] [Related]
24. PMNet: A probability map based scaled network for breast cancer diagnosis.
Ahmed S; Tariq M; Naveed H
Comput Med Imaging Graph; 2021 Apr; 89():101863. PubMed ID: 33578222
[TBL] [Abstract][Full Text] [Related]
25. CoADS: Cross attention based dual-space graph network for survival prediction of lung cancer using whole slide images.
Zhao L; Hou R; Teng H; Fu X; Han Y; Zhao J
Comput Methods Programs Biomed; 2023 Jun; 236():107559. PubMed ID: 37119773
[TBL] [Abstract][Full Text] [Related]
26. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
[TBL] [Abstract][Full Text] [Related]
27. A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images.
Li YJ; Chou HH; Lin PC; Shen MR; Hsieh SY
J Transl Med; 2023 Oct; 21(1):731. PubMed ID: 37848862
[TBL] [Abstract][Full Text] [Related]
28. Deep learning for survival analysis in breast cancer with whole slide image data.
Liu H; Kurc T
Bioinformatics; 2022 Jul; 38(14):3629-3637. PubMed ID: 35674341
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.
Dolezal JM; Kochanny S; Dyer E; Ramesh S; Srisuwananukorn A; Sacco M; Howard FM; Li A; Mohan P; Pearson AT
BMC Bioinformatics; 2024 Mar; 25(1):134. PubMed ID: 38539070
[TBL] [Abstract][Full Text] [Related]
31. Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study.
Li B; Li F; Liu Z; Xu F; Ye G; Li W; Zhang Y; Zhu T; Shao L; Chen C; Sun C; Qiu B; Bu H; Wang K; Tian J
Breast; 2022 Dec; 66():183-190. PubMed ID: 36308926
[TBL] [Abstract][Full Text] [Related]
32. Masked hypergraph learning for weakly supervised histopathology whole slide image classification.
Shi J; Shu T; Wu K; Jiang Z; Zheng L; Wang W; Wu H; Zheng Y
Comput Methods Programs Biomed; 2024 Aug; 253():108237. PubMed ID: 38820715
[TBL] [Abstract][Full Text] [Related]
33. Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images.
Gao F; Jiang L; Guo T; Lin J; Xu W; Yuan L; Han Y; Yang J; Pan Q; Chen E; Zhang N; Chen S; Wang X
J Transl Med; 2024 Jun; 22(1):568. PubMed ID: 38877591
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Whole slide imaging equivalency and efficiency study: experience at a large academic center.
Hanna MG; Reuter VE; Hameed MR; Tan LK; Chiang S; Sigel C; Hollmann T; Giri D; Samboy J; Moradel C; Rosado A; Otilano JR; England C; Corsale L; Stamelos E; Yagi Y; Schüffler PJ; Fuchs T; Klimstra DS; Sirintrapun SJ
Mod Pathol; 2019 Jul; 32(7):916-928. PubMed ID: 30778169
[TBL] [Abstract][Full Text] [Related]
36. A data model and database for high-resolution pathology analytical image informatics.
Wang F; Kong J; Cooper L; Pan T; Kurc T; Chen W; Sharma A; Niedermayr C; Oh TW; Brat D; Farris AB; Foran DJ; Saltz J
J Pathol Inform; 2011; 2():32. PubMed ID: 21845230
[TBL] [Abstract][Full Text] [Related]
37. Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images.
Yu JG; Wu Z; Ming Y; Deng S; Li Y; Ou C; He C; Wang B; Zhang P; Wang Y
Med Image Anal; 2023 Apr; 85():102748. PubMed ID: 36731274
[TBL] [Abstract][Full Text] [Related]
38. Contrastive learning-based histopathological features infer molecular subtypes and clinical outcomes of breast cancer from unannotated whole slide images.
Liu H; Zhang Y; Luo J
Comput Biol Med; 2024 Mar; 170():107997. PubMed ID: 38271839
[TBL] [Abstract][Full Text] [Related]
39. Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.
Jiang YQ; Xiong JH; Li HY; Yang XH; Yu WT; Gao M; Zhao X; Ma YP; Zhang W; Guan YF; Gu H; Sun JF
Br J Dermatol; 2020 Mar; 182(3):754-762. PubMed ID: 31017653
[TBL] [Abstract][Full Text] [Related]
40. [Identifying Molecular Subtypes of Whole-Slide Image in Colorectal Cancer via Deep Learning].
Liao J; Feng XB; Wang YH; Guo LC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):686-692. PubMed ID: 34323050
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
