Results 181 to 190 of about 69,407 (212)

RETRACTED: LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

PLoS One
Khan AH, Li J, Asghar MN, Iqbal S.
europepmc   +1 more source

TTDCapsNet: Tri Texton-Dense Capsule Network for complex and medical image recognition. [PDF]

PLoS One
Akoto-Adjepong V, Appiah O, Mensah PK, Appiahene P.   +3 more
europepmc   +1 more source

ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network. [PDF]

Brief Bioinform
Yao L, Xie P, Guan J, Chung CR, Zhang W, Deng J, Huang Y, Chiang YC, Lee TY.   +8 more
europepmc   +1 more source

UCapsNet: A Two-Stage Deep Learning Model Using U-Net and Capsule Network for Breast Cancer Segmentation and Classification in Ultrasound Imaging. [PDF]

Cancers (Basel)
Madhu G, Meher Bonasi A, Kautish S, Almazyad AS, Mohamed AW, Werner F, Hosseinzadeh M, Hosseinzadeh M, Shokouhifar M.   +8 more
europepmc   +1 more source

A dual-branch selective attention capsule network for classifying kiwifruit soft rot with hyperspectral images. [PDF]

Sci Rep
Guo Z, Ni Y, Gao H, Ding G, Zeng Y.
europepmc   +1 more source

MRI-based prostate cancer classification using 3D efficient capsule network. [PDF]

Med Phys
Li Y, Wynne J, Wang J, Roper J, Chang CW, Patel AB, Shelton J, Liu T, Mao H, Yang X.   +9 more
europepmc   +1 more source

Compound Fault Diagnosis of Planetary Gearbox Based on Improved LTSS-BoW Model and Capsule Network. [PDF]

Sensors (Basel)
Li G, He L, Ren Y, Li X, Zhang J, Liu R.
europepmc   +1 more source

Improved neural network-based interpretation of capsule endoscopic images

, 2005
Boulougoura, M., Kodogiannis, V., Wadge, E.   +2 more
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Adaptive Capsule Network

Computer Vision and Image Understanding, 2022
Xiaowei Zhang, Xuexiong Luo
exaly   +2 more sources

MS-CapsNet: A Novel Multi-Scale Capsule Network

IEEE Signal Processing Letters, 2018
International audienceCapsule network is a novel architecture to encode the properties and spatial relationships of the feature in the images, which shows encouraging results on image classification.
Canqun Xiang, Lu Zhang, Yi Tang
exaly   +2 more sources