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Additive Angular Margin for Few Shot Learning to Classify Clinical
  Endoscopy Images
v1v2 (latest)

Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images

23 March 2020
Sharib Ali
Binod Bhattarai
Tae-Kyun Kim
J. Rittscher
ArXiv (abs)PDFHTML

Papers citing "Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images"

11 / 11 papers shown
PneumoLLM: Harnessing the Power of Large Language Model for
  Pneumoconiosis Diagnosis
PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis
Meiyue Song
Zhihua Yu
Weiwen Zhang
Jiarui Wang
Yuting Lu
...
Nikolaos I. Kanellakis
Jiangfeng Liu
Jing Wang
Binglu Wang
Juntao Yang
LM&MA
349
0
0
06 Dec 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
312
23
0
10 Oct 2023
A Systematic Review of Few-Shot Learning in Medical Imaging
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
396
87
0
20 Sep 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of
  Methodologies and Formal Mathematical Framework
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework
Jannatul Nayem
Sayed Sahriar Hasan
Noshin Amina
Bristy Das
Md. Shahin Ali
M. Ahsan
S. Raman
394
17
0
08 May 2023
Domain Generalization for Mammographic Image Analysis with Contrastive
  Learning
Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Zheren Li
Zhiming Cui
Lichi Zhang
Sheng Wang
Chenjin Lei
...
Yajia Gu
Zaiyi Liu
Chunling Liu
Dinggang Shen
Jie‐Zhi Cheng
660
5
0
20 Apr 2023
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic
  Images
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic ImagesIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
Jorge F. Lazo
Benoit Rosa
M. Catellani
M. Fontana
F. Mistretta
G. Musi
O. de Cobelli
M. de Mathelin
Elena De Momi
MedIm
293
14
0
21 Dec 2022
K-UNN: k-Space Interpolation With Untrained Neural Network
K-UNN: k-Space Interpolation With Untrained Neural Network
Zhuoxu Cui
Seng Jia
Qingyong Zhu
Congcong Liu
Zhilang Qiu
Yuanyuan Liu
Jing Cheng
Haifeng Wang
Yanjie Zhu
Dong Liang
172
1
0
11 Aug 2022
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection
  using limited triplets
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets
A. Bhimireddy
J. L. Burns
S. Purkayastha
J. Gichoya
LM&MAMedIm
199
2
0
16 Apr 2022
WORD: A large scale dataset, benchmark and clinical applicable study for
  abdominal organ segmentation from CT image
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Xiangde Luo
Wenjun Liao
Jianghong Xiao
Jieneng Chen
Tao Song
Xiaofan Zhang
Kang Li
Dimitris N. Metaxas
Guotai Wang
Shaoting Zhang
373
167
0
03 Nov 2021
Meta-learning with implicit gradients in a few-shot setting for medical
  image segmentation
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
Rabindra Khadka
Debesh Jha
Steven Hicks
Vajira Thambawita
Michael A. Riegler
Sharib Ali
Pål Halvorsen
249
65
0
06 Jun 2021
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few SamplesPattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
376
80
0
06 Sep 2020
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