252 related articles for article (PubMed ID: 34634635)
1. Detection of malignant melanoma in H&E-stained images using deep learning techniques.
Alheejawi S; Berendt R; Jha N; Maity SP; Mandal M
Tissue Cell; 2021 Dec; 73():101659. PubMed ID: 34634635
[TBL] [Abstract][Full Text] [Related]
2. An efficient CNN based algorithm for detecting melanoma cancer regions in H&E-stained images.
Alheejawi S; Berendt R; Jha N; Maity SP; Mandal M
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3982-3985. PubMed ID: 34892103
[TBL] [Abstract][Full Text] [Related]
3. Multi-Path Dilated Residual Network for Nuclei Segmentation and Detection.
Wang EK; Zhang X; Pan L; Cheng C; Dimitrakopoulou-Strauss A; Li Y; Zhe N
Cells; 2019 May; 8(5):. PubMed ID: 31126166
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. FEEDNet: a feature enhanced encoder-decoder LSTM network for nuclei instance segmentation for histopathological diagnosis.
Deshmukh G; Susladkar O; Makwana D; Chandra Teja R S; Kumar S N; Mittal S
Phys Med Biol; 2022 Sep; 67(19):. PubMed ID: 35905732
[No Abstract] [Full Text] [Related]
6. Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin stained human skin.
Haggerty JM; Wang XN; Dickinson A; O'Malley CJ; Martin EB
BMC Med Imaging; 2014 Feb; 14():7. PubMed ID: 24521154
[TBL] [Abstract][Full Text] [Related]
7. Using cell nuclei features to detect colon cancer tissue in hematoxylin and eosin stained slides.
Jørgensen AS; Rasmussen AM; Andersen NKM; Andersen SK; Emborg J; Røge R; Østergaard LR
Cytometry A; 2017 Aug; 91(8):785-793. PubMed ID: 28727286
[TBL] [Abstract][Full Text] [Related]
8. Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models.
Glotsos D; Spyridonos P; Cavouras D; Ravazoula P; Dadioti PA; Nikiforidis G
Anal Quant Cytol Histol; 2004 Dec; 26(6):331-40. PubMed ID: 15678615
[TBL] [Abstract][Full Text] [Related]
9. MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Gandomkar Z; Brennan PC; Mello-Thoms C
Artif Intell Med; 2018 Jun; 88():14-24. PubMed ID: 29705552
[TBL] [Abstract][Full Text] [Related]
10. Segmentation of HE-stained meningioma pathological images based on pseudo-labels.
Wu C; Zhong J; Lin L; Chen Y; Xue Y; Shi P
PLoS One; 2022; 17(2):e0263006. PubMed ID: 35120175
[TBL] [Abstract][Full Text] [Related]
11. Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy.
Latson L; Sebek B; Powell KA
Anal Quant Cytol Histol; 2003 Dec; 25(6):321-31. PubMed ID: 14714298
[TBL] [Abstract][Full Text] [Related]
12. Automated image analysis method for detecting and quantifying macrovesicular steatosis in hematoxylin and eosin-stained histology images of human livers.
Nativ NI; Chen AI; Yarmush G; Henry SD; Lefkowitch JH; Klein KM; Maguire TJ; Schloss R; Guarrera JV; Berthiaume F; Yarmush ML
Liver Transpl; 2014 Feb; 20(2):228-36. PubMed ID: 24339411
[TBL] [Abstract][Full Text] [Related]
13. Automated annotations of epithelial cells and stroma in hematoxylin-eosin-stained whole-slide images using cytokeratin re-staining.
Brázdil T; Gallo M; Nenutil R; Kubanda A; Toufar M; Holub P
J Pathol Clin Res; 2022 Mar; 8(2):129-142. PubMed ID: 34716754
[TBL] [Abstract][Full Text] [Related]
14. Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.
Zhang H; Kalirai H; Acha-Sagredo A; Yang X; Zheng Y; Coupland SE
Transl Vis Sci Technol; 2020 Sep; 9(2):50. PubMed ID: 32953248
[TBL] [Abstract][Full Text] [Related]
15. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
R D S; A S
Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
[TBL] [Abstract][Full Text] [Related]
16. Tumor grading model employing geometric analysis of histopathological images with characteristic nuclei dictionary.
Brindha V; Jayashree P; Karthik P; Manikandan P
Comput Biol Med; 2022 Oct; 149():106008. PubMed ID: 36030720
[TBL] [Abstract][Full Text] [Related]
17. A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.
Jackson CR; Sriharan A; Vaickus LJ
Mod Pathol; 2020 Sep; 33(9):1638-1648. PubMed ID: 32238879
[TBL] [Abstract][Full Text] [Related]
18. Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types.
Hou L; Gupta R; Van Arnam JS; Zhang Y; Sivalenka K; Samaras D; Kurc TM; Saltz JH
Sci Data; 2020 Jun; 7(1):185. PubMed ID: 32561748
[TBL] [Abstract][Full Text] [Related]
19. NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.
Lal S; Das D; Alabhya K; Kanfade A; Kumar A; Kini J
Comput Biol Med; 2021 Jan; 128():104075. PubMed ID: 33190012
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
Baig R; Bibi M; Hamid A; Kausar S; Khalid S
Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]