Comparison of fine-tuning strategies for transfer learning in medical image classification

14 June 2024

Yasuhisa Hasegawa

Papers citing "Comparison of fine-tuning strategies for transfer learning in medical image classification"

27 / 27 papers shown

Title
Task segmentation based on transition state clustering for surgical robot assistance Yutaro Yamada Jacinto Colan Ana Davila Yasuhisa Hasegawa 45 4 0 14 Jun 2024
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 80 336 0 06 Apr 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 114 671 0 21 Feb 2022
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data Zhipeng Cai Ozan Sener V. Koltun CLL 52 86 0 20 Aug 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 85 385 0 26 Mar 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 60 160 0 08 Feb 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan Yan Yan Milan Sonka Tianbao Yang AI4TS MedIm OOD 73 120 0 06 Dec 2020
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context V. Rotemberg N. Kurtansky B. Betz‐Stablein L. Caffery E. Chousakos ... George Shih A. Stratigos P. Tschandl Jochen Weber H. Soyer 51 409 0 07 Aug 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 110 546 0 01 Jul 2020
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms H. Maghdid Aras T. Asaad K. Ghafoor A. Sadiq M. Khan 31 405 0 31 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D. Apostolopoulos Tzani Bessiana 68 1,915 0 25 Mar 2020
Targeted transfer learning to improve performance in small medical physics datasets M. Romero Y. Interian T. Solberg Gilmer Valdes OOD 42 48 0 14 Dec 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 177 4,448 0 07 Nov 2019
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation Fabian Eitel Emily Soehler J. Bellmann-Strobl A. Brandt K. Ruprecht ... M. Weygandt J. Haynes M. Scheel Friedemann Paul K. Ritter 46 132 0 18 Apr 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 113 1,714 0 13 Feb 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 69 613 0 22 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,594 0 21 Jan 2019
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 71 450 0 21 Nov 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 405 569 0 13 Aug 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 77 354 0 05 Feb 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 78 2,702 0 14 Nov 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 222 2,529 0 02 Jun 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 660 10,779 0 19 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,794 0 25 Aug 2016
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification Keiller Nogueira O. A. B. Penatti J. A. dos Santos 67 831 0 04 Feb 2016
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 120 969 0 06 Jan 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014