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Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT

Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT

25 March 2025
Xinsong Zhang
Hanfeng Shi
Xianrui Li
Haili Ye
Tao Xu
Na Li
Yan Hu
Fan Lv
Jianfei Chen
Jiang Liu
ArXiv (abs)PDFHTML

Papers citing "Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT"

14 / 14 papers shown
Title
Confidence-aware multi-modality learning for eye disease screening
Confidence-aware multi-modality learning for eye disease screening
K. Zou
Tian Lin
Zongbo Han
Meng Wang
Xuedong Yuan
Haoyu Chen
Changqing Zhang
Xiaojing Shen
Huazhu Fu
86
4
0
28 May 2024
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Linwei Chen
Lin Gu
Ying Fu
108
26
0
08 Mar 2024
Adaptive Frequency Filters As Efficient Global Token Mixers
Adaptive Frequency Filters As Efficient Global Token Mixers
Zhipeng Huang
Zhizheng Zhang
Cuiling Lan
Zhengjun Zha
Yan Lu
B. Guo
67
43
0
26 Jul 2023
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
189
5,226
0
10 Jan 2022
ResMLP: Feedforward networks for image classification with
  data-efficient training
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
...
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
VLM
80
667
0
07 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
467
21,603
0
25 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
682
41,483
0
22 Oct 2020
Improved Trainable Calibration Method for Neural Networks on Medical
  Imaging Classification
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
G. Liang
Yu Zhang
Xiaoqin Wang
Nathan Jacobs
UQCV
69
61
0
09 Sep 2020
Calibrating Deep Neural Networks using Focal Loss
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti
Viveka Kulharia
Amartya Sanyal
Stuart Golodetz
Philip Torr
P. Dokania
UQCV
90
467
0
21 Feb 2020
Deep Adaptive Wavelet Network
Deep Adaptive Wavelet Network
M. Bastidas-Rodríguez
Adrien Gruson
Luisa F. Polanía
S. Fujieda
F. Ortíz
Kohei Takayama
T. Hachisuka
FAttOOD
61
56
0
10 Dec 2019
Wavelet Convolutional Neural Networks
Wavelet Convolutional Neural Networks
S. Fujieda
Kohei Takayama
T. Hachisuka
60
127
0
20 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
213
19,353
0
13 Jan 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,877
0
14 Jun 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
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