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Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo
  Hyperspectral Tumor Type Classification

Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification

2 July 2020
M. Bengs
N. Gessert
W. Laffers
D. Eggert
S. Westermann
Nina A. Mueller
A. Gerstner
C. Betz
Alexander Schlaefer
ArXiv (abs)PDFHTML

Papers citing "Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification"

5 / 5 papers shown
Title
Spatio-spectral deep learning methods for in-vivo hyperspectral
  laryngeal cancer detection
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
M. Bengs
S. Westermann
N. Gessert
D. Eggert
A. Gerstner
N. A. Müller
C. Betz
W. Laffers
Alexander Schlaefer
31
12
0
21 Apr 2020
Enhancing Sentence Embedding with Generalized Pooling
Enhancing Sentence Embedding with Generalized Pooling
Qian Chen
Zhenhua Ling
Xiao-Dan Zhu
81
68
0
26 Jun 2018
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning
  for Hyperspectral Image Classification
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
Qingshan Liu
F. Zhou
Renlong Hang
Xiaotong Yuan
63
260
0
23 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
819
36,892
0
25 Aug 2016
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
1