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Joint Liver Lesion Segmentation and Classification via Transfer Learning
v1v2 (latest)

Joint Liver Lesion Segmentation and Classification via Transfer Learning

26 April 2020
Michal Heker
H. Greenspan
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Joint Liver Lesion Segmentation and Classification via Transfer Learning"

14 / 14 papers shown
Title
UniCAD: Efficient and Extendable Architecture for Multi-Task Computer-Aided Diagnosis System
UniCAD: Efficient and Extendable Architecture for Multi-Task Computer-Aided Diagnosis System
Yitao Zhu
Yuan Yin
Zhenrong Shen
Zihao Zhao
Haiyu Song
Sheng Wang
Dinggang Shen
Qian Wang
MedIm
37
0
0
14 May 2025
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked
  Context Modelling and Knowledge Distillation
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation
Juan Pisula
Katarzyna Bozek
66
2
0
08 Mar 2024
Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal
  Blood Vessel Classification: Issue and Improvement
Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement
Xinyi Fang
Wei Ke
Chak Fong Chong
Kei Long Wong
Yapeng Wang
Tiankui Zhang
Sio-Kei Im
80
0
0
29 Feb 2024
Context-Aware Self-Supervised Learning of Whole Slide Images
Context-Aware Self-Supervised Learning of Whole Slide Images
Milan Aryal
Nasim Yahya Soltani
45
5
0
07 Jun 2023
Full or Weak annotations? An adaptive strategy for budget-constrained
  annotation campaigns
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns
Javier Gamazo Tejero
M. Zinkernagel
Sebastian Wolf
Raphael Sznitman
Pablo Márquez-Neila
85
4
0
21 Mar 2023
Robust Alzheimer's Progression Modeling using Cross-Domain
  Self-Supervised Deep Learning
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
Saba Dadsetan
Mohsen Hejrati
Shandong Wu
Somaye Hashemifar
OOD
103
0
0
15 Nov 2022
Transfer Learning with Deep Tabular Models
Transfer Learning with Deep Tabular Models
Roman Levin
Valeriia Cherepanova
Avi Schwarzschild
Arpit Bansal
C. Bayan Bruss
Tom Goldstein
A. Wilson
Micah Goldblum
OODFedMLLMTD
141
64
0
30 Jun 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
80
39
0
20 May 2022
Resource-efficient domain adaptive pre-training for medical images
Resource-efficient domain adaptive pre-training for medical images
Y. Mehmood
U. I. Bajwa
Xianfang Sun
83
1
0
28 Apr 2022
BezierSeg: Parametric Shape Representation for Fast Object Segmentation
  in Medical Images
BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images
Hai-xin Chen
Yishu Deng
Bin Li
Zeqin Li
Haohua Chen
Bing-Zhong Jing
Chaofeng Li
46
4
0
02 Aug 2021
Supervised Transfer Learning at Scale for Medical Imaging
Supervised Transfer Learning at Scale for Medical Imaging
Basil Mustafa
Aaron Loh
Jan Freyberg
Patricia MacWilliams
Megan Wilson
...
Shruthi Prabhakara
Umesh Telang
Alan Karthikesalingam
N. Houlsby
Vivek Natarajan
LM&MA
163
68
0
14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
121
522
0
13 Jan 2021
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast
  Biopsy Images
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images
Sachin Mehta
Ximing Lu
D. Weaver
J. Elmore
Hannaneh Hajishirzi
Linda G. Shapiro
39
5
0
25 Jul 2020
RA-UNet: A hybrid deep attention-aware network to extract liver and
  tumor in CT scans
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin
Zhao-Peng Meng
Changming Sun
Leyi Wei
R. Su
MedIm
116
360
0
04 Nov 2018
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