Cascade-EC Network: Recognition of Gastrointestinal Multiple Lesions Based on EfficientNet and CA_stm_Retinanet

Xudong Guo1, Li Xu1, Shengnan Li1, Mei‐Dong Xu2, Cheng Yuan2, Qinfen Jiang3
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
2Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
3Department of Information Management, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China

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Fitzmaurice C, Allen C, Abbasi N et al: Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol, 3: 524-48, 2017.

Park J, Cho Y K, Kim J H: Current and Future Use of Esophageal Capsule Endoscopy. Clin Endosc, 51: 317-22, 2018.

Xiao Z, Feng L N.: A Study on Wireless Capsule Endoscopy for Small Intestinal Lesions Detection Based on Deep Learning Target Detection. IEEE Access, 8: 159017-26, 2020.

Samir J, Ayan S, Aparajita O, et al: Detection of abnormality in wireless capsule endoscopy images using fractal features. Comput Biol Med, 127: 104094, 2020.

Samir J, Ayan S, Aparajita O: A Convolutional Neural Network with Meta-feature Learning for Wireless Capsule Endoscopy Image Classification. J Med Biol Eng, 43: 475-494, 2023.

Samir J, Ayan S, Aparajita O: Localization of Polyps in WCE Images Using Deep Learning Segmentation Methods: A Comparative Study. Commun Comput Inf Sci, 1567: 538-549, 2021.

Samir J, Rohan A, Anubhav G, et al: CoInNet: A Convolution-Involution Network with a Novel Statistical Attention for Automatic Polyp Segmentation. IEEE Trans Med Imag, 42: 3987-4000, 2023.

Samir J, Ayan S, Aparajita O, et al: A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images. Comput Biol Med, 137: 104789, 2021.

Fan S, Xu L, Fan Y, et al: Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images. Phys Med Biol, 63: 165001, 2018.

Lee J H, Kim Y J, Kim Y W, et al: Spotting malignancies from gastric endoscopic images using deep learning. Surg Endosc, 33: 3790-7, 2019.

Wang Y, Feng Z, Song L, et al: Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning. Comput Math Methods Med, https://doi.org/10.1155/2021/2485934, Jul 3, 2021.

Otani K, Nakada A, Kurose Y, et al: Automatic detection of different types of small-bowel lesions on capsule endoscopy images using a newly developed deep convolutional neural network. Endoscopy, 52: 786-91, 2020.

Cao C, Wang R, Yu Y, et al: Gastric polyp detection in gastroscopic images using deep neural network. PLoS One, 16: e0250632, 2021.

Jia X, Mai X, Cui Y, et al: Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. IEEE Trans Autom Sci Eng, 17:1570-1584, 2020.

Ghosh T, Chakareski J: Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging. J Digit Imaging, 34: 404-17, 2021.

Tan M, Le Q: Efficientnet: Rethinking model scaling for convolutional neural networks[C]// Int. Conf. Mach. Learn.. PMLR: 6105–6114, 2019.

Tajbakhsh N, Shin J, Gurudu S, et al: Convolutional neural networks for medical image analysis: Full training or fine tuning? IEEE Trans. Med. Imag. 35:1299–1312, 2016.

Lin T Y, Goyal P, Girshick R, et al: Focal loss for dense object detection[C]//Proceedings of the IEEE Int. Conf. Comput. Vis.: 2980–2988, 2017.

Zhang J, Wang K, He Y, et al: Visual Object Tracking via Cascaded RPN Fusion and Coordinate Attention. Comput Model Eng Sci, 132: 909-27, 2022.

Xiong X, Duan L, Liu L, et al: Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization. Plant Methods, 13: 104, 2017.

Ma B, Liu Z, Jiang F, et al: Vehicle Detection in Aerial Images Using Rotation-Invariant Cascaded Forest. IEEE Access, 7: 59613-23, 2019.

Salton G, McGill MJ: Introduction to Modern Information Retrieval. United States NY: McGraw-Hill, 1986.

Pogorelov K, Suman S, and Azmadi Hussin F, et al: Bleeding detection in wireless capsule endoscopy videos - Color versus texture features. J Appl Clin Med Phys, 20(8):141-154, 2019.

Vieira PM, Silva CP, Costa D, Vaz IF, Rolanda C, Lima CS: Automatic Segmentation and Detection of Small Bowel Angioectasias in WCE Images. Ann Biomed Eng, 47(6):1446-1462, 2019.

Alaskar H, Hussain A, Al-Aseem N, Liatsis P, Al-Jumeily D: Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images. Sensors (Basel), 19:1265, 2019.

Krenzer A, Heil S, Fitting D, Matti S, Zoller WG, Hann A, Puppe F: Automated classification of polyps using deep learning architectures and few-shot learning. BMC Med Imaging, 23:59, 2023.

Kundu AK, Fattah SA, Wahid KA: Multiple Linear Discriminant Models for Extracting Salient Characteristic Patterns in Capsule Endoscopy Images for Multi-Disease Detection. IEEE J Transl Eng Health Med, 8: 3300111, 2020.