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Comparative study on methods for colon polyp endoscopic image segmentation and classification based on deep learning.

• Authors : CHEN Jian¹; WANG Zhenni¹; XIA Kaijian²

• Source: Journal of Shanghai Jiaotong University (Medical Science). Jun2024, Vol. 44 Issue 6, p762-772. 11p.

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Algorithm improvement of neural network in endoscopic image recognition of upper digestive tract system.

• Authors : Lu, Bin¹ (AUTHOR)

• Source: Expert Systems. May2023, Vol. 40 Issue 4, p1-7. 7p.

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EIEN: Endoscopic Image Enhancement Network Based on Retinex Theory.

• Authors : An, Ziheng^1,2 (AUTHOR) ; Xu, Chao^1,2 (AUTHOR) ; Qian, Kai^1,2 (AUTHOR)

• Source: Sensors (14248220). Jul2022, Vol. 22 Issue 14, pN.PAG-N.PAG. 19p.

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基于深度卷积神经网络的Barrett食管内镜图片分类模型 的建立.

• Authors : 林嘉希^1,2 ; 汪盛嘉³; 赵 鑫³

• Source: Journal of Shanghai Jiaotong University (Medical Science). May2022, Vol. 42 Issue 5, p653-659. 7p.

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EIEN: Endoscopic Image Enhancement Network Based on Retinex Theory

• Authors : Ziheng An; Chao Xu; Kai Qian

Subjects: image enhancement; convolutional neural network; endoscopic image

• Source: Sensors, Vol 22, Iss 14, p 5464 (2022)

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Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing.

• Authors : Gulenko, Oleksandra¹ (AUTHOR) ; Yang, Hyunmo² (AUTHOR) ; Kim, KiSik¹ (AUTHOR)

• Source: Sensors (14248220). May2022, Vol. 22 Issue 10, p3961-3961. 16p.

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Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing

• Authors : Oleksandra Gulenko; Hyunmo Yang; KiSik Kim

Subjects: electromagnetic interference noise; noise removal; convolutional neural network

• Source: Sensors, Vol 22, Iss 10, p 3961 (2022)

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Automated Detection of Gastric Cancer by Retrospective Endoscopic Image Dataset Using U-Net R-CNN

• Authors : Atsushi Teramoto; Tomoyuki Shibata; Hyuga Yamada

Subjects: gastric cancer; endoscopy; deep learning

• Source: Applied Sciences, Vol 11, Iss 23, p 11275 (2021)

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Dual-Branch Fully Convolutional Segment Anything Model for Lesion Segmentation in Endoscopic Images

• Authors : Dongzhi He; Zeyuan Ma; Chenxi Li

Subjects: Boundary aware; convolutional neural network; endoscopic image

• Source: IEEE Access, Vol 12, Pp 125654-125667 (2024)

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Detection of Image Artifacts Using Improved Cascade Region-Based CNN for Quality Assessment of Endoscopic Images.

• Authors : Sun, Wei^1,2 (AUTHOR) ; Li, Peng² (AUTHOR); Liang, Yan³ (AUTHOR)

• Source: Bioengineering (Basel). Nov2023, Vol. 10 Issue 11, p1288. 18p.

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