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Dual-channel Prototype Network for few-shot Classification of
  Pathological Images

Dual-channel Prototype Network for few-shot Classification of Pathological Images

14 November 2023
Hao Quan
Xinjia Li
Dayu Hu
Tianhang Nan
Xiaoyu Cui
ArXivPDFHTML

Papers citing "Dual-channel Prototype Network for few-shot Classification of Pathological Images"

13 / 13 papers shown
Title
FHIST: A Benchmark for Few-shot Classification of Histological Images
FHIST: A Benchmark for Few-shot Classification of Histological Images
Fereshteh Shakeri
Malik Boudiaf
S. Mohammadi
Ivaxi Sheth
Mohammad Havaei
Ismail Ben Ayed
Samira Ebrahimi Kahou
OOD
VLM
67
22
0
31 May 2022
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label
  Classification using Vision Transformer
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer
F. Guo
Yingfang Fan
ViT
MedIm
91
6
0
30 May 2022
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision
  Transformers with Locality
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality
Xiang Li
Wenhai Wang
Lingfeng Yang
Jian Yang
148
74
0
20 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
439
7,731
0
11 Nov 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
432
21,392
0
25 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
513
3,718
0
24 Feb 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Nayeon Lee
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
351
992
0
27 Jan 2021
Lung and Colon Cancer Histopathological Image Dataset (LC25000)
Lung and Colon Cancer Histopathological Image Dataset (LC25000)
MD Andrew A. Borkowski
MD PhD2 Marilyn M. Bui
MD L. Brannon Thomas
MT1 Catherine P. Wilson
RN1 Lauren A. DeLand
MD1 Stephen M. Mastorides
LM&MA
MedIm
38
233
0
16 Dec 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
133
18,106
0
28 May 2019
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
273
9,759
0
25 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
811
11,894
0
09 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
760
36,781
0
25 Aug 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
359
7,319
0
13 Jun 2016
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