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Diffusion models applied to skin and oral cancer classification

Diffusion models applied to skin and oral cancer classification

28 March 2025
José J. M. Uliana
Renato A. Krohling
    DiffMMedIm
ArXiv (abs)PDFHTML

Papers citing "Diffusion models applied to skin and oral cancer classification"

18 / 18 papers shown
Title
Synthetic Data from Diffusion Models Improves ImageNet Classification
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
VLMDiffM
112
315
0
17 Apr 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
DiffMVLM
94
256
0
07 Feb 2023
Diffusion Probabilistic Models beat GANs on Medical Images
Diffusion Probabilistic Models beat GANs on Medical Images
Gustav Muller-Franzes
J. Niehues
Firas Khader
Soroosh Tayebi Arasteh
Christoph Haarburger
...
Tian Wang
T. Han
S. Nebelung
Jakob Nikolas Kather
Daniel Truhn
DiffMMedIm
61
101
0
14 Dec 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip Torr
Song Bai
Xiaojuan Qi
102
302
0
14 Oct 2022
CARD: Classification and Regression Diffusion Models
CARD: Classification and Regression Diffusion Models
Xizewen Han
Huangjie Zheng
Mingyuan Zhou
DiffM
106
115
0
15 Jun 2022
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on
  Small Datasets
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets
Leandro M. de Lima
R. Krohling
ViTMedIm
66
11
0
30 May 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
502
15,788
0
20 Dec 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
271
7,958
0
11 May 2021
A Smartphone based Application for Skin Cancer Classification Using Deep
  Learning with Clinical Images and Lesion Information
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
Breno Krohling
Pedro B. C. Castro
André G. C. Pacheco
R. Krohling
MedIm
53
18
0
28 Apr 2021
Co-Scale Conv-Attentional Image Transformers
Co-Scale Conv-Attentional Image Transformers
Weijian Xu
Yifan Xu
Tyler A. Chang
Zhuowen Tu
ViT
59
377
0
13 Apr 2021
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
520
582
0
30 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
682
41,483
0
22 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
742
18,364
0
19 Jun 2020
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
260
3,505
0
30 Sep 2019
The impact of patient clinical information on automated skin cancer
  detection
The impact of patient clinical information on automated skin cancer detection
André G. C. Pacheco
R. Krohling
83
157
0
16 Sep 2019
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,725
0
12 Jun 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
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