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1511.06348
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How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
19 November 2015
Junghwan Cho
Kyewook Lee
Ellie Shin
G. Choy
Synho Do
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Papers citing
"How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?"
50 / 63 papers shown
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Harshita Sharma
Anton Schwaighofer
Sam Bond-Taylor
Fernando Pérez-García
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Maria T. A. Wetscherek
Noel C. F. Codella
Javier Alvarez-Valle
Korfiatis Panagiotis
Valentina Salvatelli
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16 Sep 2025
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Kyoung-Min Kim
258
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12 Sep 2025
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Dongwoo Lee
Dong Bok Lee
Steven Adriaensen
Juho Lee
Sung Ju Hwang
Frank Hutter
Seon Joo Kim
Hae Beom Lee
BDL
448
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29 May 2025
LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought
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Felix Mohr
Tom Viering
375
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21 May 2025
Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces
Arnau Marin-Llobet
Arnau Manasanch
Sergio Sanchez-Manso
Lluc Tresserras
Xinhe Zhang
Yining Hua
Hao Zhao
Melody Torao-Angosto
M. Sanchez-Vives
Leonardo Dalla Porta
182
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07 Apr 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Edwin Tay
Nazli Tümer
Amir A. Zadpoor
MedIm
626
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27 Mar 2025
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
Yifan Jiang
Yannick Lemaréchal
Sophie Plante
Josée Bafaro
Jessica Abi-Rjeile
Philippe Joubert
Philippe Després
Venkata Manem
MedIm
DiffM
410
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0
21 Feb 2025
Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on top of Med-BERT
Jianping He
L. Rasmy
Degui Zhi
Cui Tao
164
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0
03 Jan 2025
Comparative Analysis of Diffusion Generative Models in Computational Pathology
Denisha Thakkar
Vincent Quoc-Huy Trinh
Sonal Varma
Samira Ebrahimi Kahou
Hassan Rivaz
Mahdi S. Hosseini
MedIm
383
1
0
24 Nov 2024
Hebrew letters Detection and Cuneiform tablets Classification by using the yolov8 computer vision model
Elaf A. Saeed
Ammar D. Jasim
Munther A. Abdul Malik
209
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19 May 2024
How much data do you need? Part 2: Predicting DL class specific training dataset sizes
Thomas Mühlenstädt
Jelena Frtunikj
178
4
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10 Mar 2024
How much data do I need? A case study on medical data
BigData Congress [Services Society] (BSS), 2023
Ayse Betul Cengiz
A. Mcgough
283
3
0
26 Nov 2023
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans
Matheus del-Valle
Lariza Laura de Oliveira
Henrique Cursino Vieira
Henrique Min Ho Lee
Lucas Lembrança Pinheiro
M. F. Portugal
Newton Shydeo Brandão Miyoshi
Nelson Wolosker
199
0
0
23 Oct 2023
How to Data in Datathons
Neural Information Processing Systems (NeurIPS), 2023
Carlos Mougan
Richard Plant
Clare Teng
Marya Bazzi
Alvaro Cabregas-Ejea
Ryan Sze-Yin Chan
David Salvador Jasin
Martin Stoffel
K. Whitaker
Jules Manser
257
2
0
18 Sep 2023
Localisation of Mammographic masses by Greedy Backtracking of Activations in the Stacked Auto-Encoders
Shamna Pootheri
K. GovindanV
123
1
0
09 May 2023
Pretrained ViTs Yield Versatile Representations For Medical Images
Christos Matsoukas
Johan Fredin Haslum
Magnus P Soderberg
Kevin Smith
MedIm
ViT
349
16
0
13 Mar 2023
LostNet: A smart way for lost and find
PLoS ONE (PLoS ONE), 2023
Meihua Zhou
Ivan Fung
Li Yang
Nan Wan
Keke Di
Tingting Wang
144
3
0
05 Jan 2023
Diffusion Probabilistic Models beat GANs on Medical Images
Scientific Reports (Sci Rep), 2022
Gustav Muller-Franzes
J. Niehues
Firas Khader
Soroosh Tayebi Arasteh
Christoph Haarburger
...
Tian Wang
T. Han
S. Nebelung
Jakob Nikolas Kather
Daniel Truhn
DiffM
MedIm
254
189
0
14 Dec 2022
Navigating causal deep learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
267
2
0
01 Dec 2022
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series?
Ke Liao
Wei Wang
A. Elibol
L. Meng
Xu Zhao
N. Chong
OOD
120
4
0
11 Nov 2022
How many radiographs are needed to re-train a deep learning system for object detection?
Raniere Silva
Khizar Hayat
Christopher Riggs
M. Doube
MedIm
161
0
0
17 Oct 2022
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning
EPJ Web of Conferences (EPJ Web Conf.), 2022
Riccardo Finotello
D. L’hermite
Celine Quéré
Benjamin Rouge
M. Tamaazousti
J. Sirven
195
2
0
07 Oct 2022
On the benefits of self-taught learning for brain decoding
Elodie Germani
Elisa Fromont
Camille Maumet
FedML
SSL
368
2
0
19 Sep 2022
Revisiting Neural Scaling Laws in Language and Vision
Neural Information Processing Systems (NeurIPS), 2022
Ibrahim Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
649
157
0
13 Sep 2022
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations
Jonathan Fhima
Jan Van Eijgen
Moti Freiman
Ingeborg Stalmans
Joachim A. Behar
268
4
0
22 Aug 2022
Maintaining Performance with Less Data
Dominic Sanderson
Tatiana Kalgonova
345
1
0
03 Aug 2022
A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging
Nihal Raju
Michael Woodburn
S. Kachel
Jack O’Shaughnessy
Laurence Sorace
Natalie Yang
Ruth P. Lim
LM&MA
98
3
0
23 Jun 2022
Is More Data All You Need? A Causal Exploration
Athanasios Vlontzos
Hadrien Reynaud
Bernhard Kainz
CML
216
3
0
06 Jun 2022
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
iScience (iScience), 2022
Junya Sato
Yuki Suzuki
T. Wataya
Daiki Nishigaki
Kosuke Kita
Kazuki Yamagata
Noriyuki Tomiyama
Shoji Kido
243
23
0
09 May 2022
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness
Machine Learning for Biomedical Imaging (MLBI), 2022
Farnaz Khun Jush
M. Biele
P. Dueppenbecker
Andreas Maier
OOD
263
17
0
01 Feb 2022
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
Machine-mediated learning (ML), 2022
F. Mohr
Jan N. van Rijn
353
84
0
28 Jan 2022
Human Age Estimation from Gene Expression Data using Artificial Neural Networks
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
S. Mohamadi
Gianfranco Doretto
Nasser M. Nasrabadi
Donald Adjeroh
194
5
0
04 Nov 2021
A deep neural network for multi-species fish detection using multiple acoustic cameras
Garcia Fernandez Guglielmo
François Martignac
M. Nevoux
L. Beaulaton
Thomas Corpetti
183
1
0
22 Sep 2021
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
252
66
0
07 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
297
1
0
05 Jul 2021
Deep Convolutional Neural Networks for Onychomycosis Detection
Mycoses (Berlin) (Mycoses), 2021
Abdurrahim Yılmaz
F. Göktay
Rahmetullah Varol
G. Gencoglan
H. Uvet
154
17
0
30 Jun 2021
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee
A. Gitter
Casey S. Greene
S. Raschka
F. Maguire
...
Alexandr A Kalinin
T. Triche
Benjamin J. Lengerich
Timothy J. Triche Jr
S. Boca
OOD
309
31
0
29 May 2021
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
Chae-Eun Lee
Minyoung Chung
Y. Shin
DRL
281
11
0
17 May 2021
Recommending Training Set Sizes for Classification
Phillip T. Koshute
Jared Zook
I. Mcculloh
305
7
0
16 Feb 2021
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19
Maryam Dialameh
A. Hamzeh
Hossein Rahmani
A. Radmard
Safoura Dialameh
328
2
0
28 Dec 2020
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task
AAAI Conference on Artificial Intelligence (AAAI), 2020
Dmitry Tsarkov
Tibor Tihon
Nathan Scales
Nikola Momchev
Danila Sinopalnikov
Nathanael Scharli
205
17
0
15 Dec 2020
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows
ACS Omega (ACS Omega), 2020
Jize Zhang
B. Kailkhura
T. Y. Han
OOD
226
24
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02 Dec 2020
A combined full-reference image quality assessment approach based on convolutional activation maps
D. Varga
213
8
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19 Oct 2020
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
Ecological Informatics (Ecol. Inform.), 2020
S. Shahinfar
P. Meek
G. Falzon
228
184
0
16 Oct 2020
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Dan Liu
Shuai Wang
Z. Wen
Lei Cheng
Miaowen Wen
Yik-Chung Wu
248
15
0
07 Sep 2020
A Multisite, Report-Based, Centralized Infrastructure for Feedback and Monitoring of Radiology AI/ML Development and Clinical Deployment
Menashe Benjamin
G. Engelhard
A. Aisen
Yinon Aradi
Elad Benjamin
152
1
0
31 Aug 2020
MCAL: Minimum Cost Human-Machine Active Labeling
International Conference on Learning Representations (ICLR), 2020
Hang Qiu
Krishna Chintalapudi
Ramesh Govindan
297
7
0
24 Jun 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
H. Kobayashi
A. Solak
Joshua D. Batson
Loic A. Royer
259
16
0
11 Jun 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MH
LM&MA
403
936
0
22 May 2020
A scoping review of transfer learning research on medical image analysis using ImageNet
M. Morid
Alireza Borjali
G. Fiol
593
442
0
27 Apr 2020
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