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For: Pacal I, Karaboga D, Basturk A, Akay B, Nalbantoglu U. A comprehensive review of deep learning in colon cancer. Computers in Biology and Medicine 2020;126:104003. [DOI: 10.1016/j.compbiomed.2020.104003] [Cited by in Crossref: 13] [Cited by in F6Publishing: 7] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Rahman MM, Wadud MAH, Hasan MM. Computerized classification of gastrointestinal polyps using stacking ensemble of convolutional neural network. Informatics in Medicine Unlocked 2021;24:100603. [DOI: 10.1016/j.imu.2021.100603] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Meirelles AL, Kurc T, Saltz J, Teodoro G. Effective Active Learning in Digital Pathology: A Case Study in Tumor Infiltrating Lymphocytes. Computer Methods and Programs in Biomedicine 2022. [DOI: 10.1016/j.cmpb.2022.106828] [Reference Citation Analysis]
3 Nazari E, Aghemiri M, Avan A, Mehrabian A, Tabesh H. Machine learning approaches for classification of colorectal cancer with and without feature selection method on microarray data. Gene Reports 2021;25:101419. [DOI: 10.1016/j.genrep.2021.101419] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Qiu H, Ding S, Liu J, Wang L, Wang X. Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer. Current Oncology 2022;29:1773-95. [DOI: 10.3390/curroncol29030146] [Reference Citation Analysis]
5 Ali M, Ali R. Multi-Input Dual-Stream Capsule Network for Improved Lung and Colon Cancer Classification. Diagnostics (Basel) 2021;11:1485. [PMID: 34441419 DOI: 10.3390/diagnostics11081485] [Reference Citation Analysis]
6 Hacking SM, Chakraborty B, Nasim R, Vitkovski T, Thomas R. A Holistic Appraisal of Stromal Differentiation in Colorectal Cancer: Biology, Histopathology, Computation, and Genomics. Pathol Res Pract 2021;220:153378. [PMID: 33690050 DOI: 10.1016/j.prp.2021.153378] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 Theodosi A, Ouzounis S, Kostopoulos S, Glotsos D, Kalatzis I, Tzelepi V, Ravazoula P, Asvestas P, Cavouras D, Sakellaropoulos G. Design of a hybrid deep learning system for discriminating between low- and high-grade colorectal cancer lesions, using microscopy images of IHC stained for AIB1 expression biopsy material. Machine Vision and Applications 2021;32. [DOI: 10.1007/s00138-021-01184-8] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Younas F, Usman M, Yan WQ. A deep ensemble learning method for colorectal polyp classification with optimized network parameters. Appl Intell. [DOI: 10.1007/s10489-022-03689-9] [Reference Citation Analysis]
9 Ben Hamida A, Devanne M, Weber J, Truntzer C, Derangère V, Ghiringhelli F, Forestier G, Wemmert C. Deep learning for colon cancer histopathological images analysis. Comput Biol Med 2021;136:104730. [PMID: 34375901 DOI: 10.1016/j.compbiomed.2021.104730] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Pacal I, Karaman A, Karaboga D, Akay B, Basturk A, Nalbantoglu U, Coskun S. An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. Comput Biol Med 2021;:105031. [PMID: 34802713 DOI: 10.1016/j.compbiomed.2021.105031] [Reference Citation Analysis]
11 Ibrahim DM, Elshennawy NM, Sarhan AM. Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases. Comput Biol Med 2021;132:104348. [PMID: 33774272 DOI: 10.1016/j.compbiomed.2021.104348] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
12 Pacal I, Karaboga D. A robust real-time deep learning based automatic polyp detection system. Comput Biol Med 2021;134:104519. [PMID: 34090014 DOI: 10.1016/j.compbiomed.2021.104519] [Reference Citation Analysis]
13 Song P, Li J, Fan H. Attention based multi-scale parallel network for polyp segmentation. Comput Biol Med 2022;146:105476. [PMID: 35483226 DOI: 10.1016/j.compbiomed.2022.105476] [Reference Citation Analysis]
14 Li D, Du L. Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish. Artif Intell Rev. [DOI: 10.1007/s10462-021-10102-3] [Reference Citation Analysis]
15 Gab Allah AM, Sarhan AM, Elshennawy NM. Classification of Brain MRI Tumor Images Based on Deep Learning PGGAN Augmentation. Diagnostics (Basel) 2021;11:2343. [PMID: 34943580 DOI: 10.3390/diagnostics11122343] [Reference Citation Analysis]
16 Bora K, Bhuyan MK, Kasugai K, Mallik S, Zhao Z. Computational learning of features for automated colonic polyp classification. Sci Rep 2021;11:4347. [PMID: 33623086 DOI: 10.1038/s41598-021-83788-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Durak S, Bayram B, Bakırman T, Erkut M, Doğan M, Gürtürk M, Akpınar B. Deep neural network approaches for detecting gastric polyps in endoscopic images. Med Biol Eng Comput 2021;59:1563-74. [PMID: 34259974 DOI: 10.1007/s11517-021-02398-8] [Reference Citation Analysis]
18 Schiele S, Arndt TT, Martin B, Miller S, Bauer S, Banner BM, Brendel EM, Schenkirsch G, Anthuber M, Huss R, Märkl B, Müller G. Deep Learning Prediction of Metastasis in Locally Advanced Colon Cancer Using Binary Histologic Tumor Images. Cancers (Basel) 2021;13:2074. [PMID: 33922988 DOI: 10.3390/cancers13092074] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
19 Song H, Ruan C, Xu Y, Xu T, Fan R, Jiang T, Cao M, Song J. Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model. Exp Biol Med (Maywood) 2021;:15353702211065010. [PMID: 34904882 DOI: 10.1177/15353702211065010] [Reference Citation Analysis]
20 Picon A, Terradillos E, Sánchez-Peralta LF, Mattana S, Cicchi R, Blover BJ, Arbide N, Velasco J, Etzezarraga MC, Pavone FS, Garrote E, Saratxaga CL. Novel Pixelwise Co-Registered Hematoxylin-Eosin and Multiphoton Microscopy Image Dataset for Human Colon Lesion Diagnosis. J Pathol Inform 2022;13:100012. [PMID: 35223136 DOI: 10.1016/j.jpi.2022.100012] [Reference Citation Analysis]
21 Dabass M, Vashisth S, Vig R. Attention-Guided deep atrous-residual U-Net architecture for automated gland segmentation in colon histopathology images. Informatics in Medicine Unlocked 2021;27:100784. [DOI: 10.1016/j.imu.2021.100784] [Reference Citation Analysis]