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Multi-Classification of Brain Tumor Images Using Deep Neural Network
Multi-Classification of Brain Tumor Images Using Deep Neural Network
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Multi-Classification of Brain Tumor Images Using Deep Neural Network

Sultan, Hossam H. ; Salem, Nancy M. ; Al-Atabany, Walid

IEEE access, 2019, Vol.7, p.69215-69225 [Periódico revisado por pares]

Piscataway: IEEE

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HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
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HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation

Wei, Shunjun ; Zeng, Xiangfeng ; Qu, Qizhe ; Wang, Mou ; Su, Hao ; Shi, Jun

IEEE access, 2020, Vol.8, p.120234-120254 [Periódico revisado por pares]

Piscataway: IEEE

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Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation
Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation
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Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation

Kolluru, Chaitanya ; Lee, Juhwan ; Gharaibeh, Yazan ; Bezerra, Hiram G. ; Wilson, David L.

IEEE access, 2021, Vol.9, p.37273-37280 [Periódico revisado por pares]

United States: IEEE

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Change Detection Method for Wavelength-Resolution SAR Images Based on Bayes' Theorem: An Iterative Approach
Change Detection Method for Wavelength-Resolution SAR Images Based on Bayes' Theorem: An Iterative Approach
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Change Detection Method for Wavelength-Resolution SAR Images Based on Bayes' Theorem: An Iterative Approach

Alves, Dimas Irion ; Palm, Bruna Gregory ; Hellsten, Hans ; Machado, Renato ; Vu, Viet Thuy ; Pettersson, Mats I. ; Dammert, Patrik

IEEE access, 2023-01, Vol.11, p.1-1 [Periódico revisado por pares]

Piscataway: IEEE

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5
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
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Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods

Goyal, Manu ; Oakley, Amanda ; Bansal, Priyanka ; Dancey, Darren ; Yap, Moi Hoon

IEEE access, 2020, Vol.8, p.4171-4181 [Periódico revisado por pares]

Piscataway: IEEE

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Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
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Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

Wu, Baoyuan ; Chen, Weidong ; Fan, Yanbo ; Zhang, Yong ; Hou, Jinlong ; Liu, Jie ; Zhang, Tong

IEEE access, 2019, Vol.7, p.172683-172693 [Periódico revisado por pares]

Piscataway: IEEE

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7
Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network
Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network
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Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network

Wei, Lisheng ; Ding, Kun ; Hu, Huosheng

IEEE access, 2020, Vol.8, p.99633-99647 [Periódico revisado por pares]

Piscataway: IEEE

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8
NAS-Unet: Neural Architecture Search for Medical Image Segmentation
NAS-Unet: Neural Architecture Search for Medical Image Segmentation
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NAS-Unet: Neural Architecture Search for Medical Image Segmentation

Weng, Yu ; Zhou, Tianbao ; Li, Yujie ; Qiu, Xiaoyu

IEEE access, 2019, Vol.7, p.44247-44257 [Periódico revisado por pares]

Piscataway: IEEE

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Image Segmentation-Based Multi-Focus Image Fusion Through Multi-Scale Convolutional Neural Network
Image Segmentation-Based Multi-Focus Image Fusion Through Multi-Scale Convolutional Neural Network
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Image Segmentation-Based Multi-Focus Image Fusion Through Multi-Scale Convolutional Neural Network

Du, Chaoben ; Gao, Shesheng

IEEE access, 2017-01, Vol.5, p.15750-15761 [Periódico revisado por pares]

Piscataway: IEEE

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10
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications
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U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

Siddique, Nahian ; Paheding, Sidike ; Elkin, Colin P. ; Devabhaktuni, Vijay

IEEE access, 2021, Vol.9, p.82031-82057 [Periódico revisado por pares]

Piscataway: IEEE

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