ResearchTrend.AI
Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy

Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy

Hong-Jun Yoon
Chris Keum
A. Witkowski
J. Ludzik
Tracy Petrie
Heidi A. Hanson
S. Leachman
ArXivPDFHTML

Papers citing "Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy"

5 / 5 papers shown
Title
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
671
6,066
0
29 Apr 2021
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
363
6,797
0
13 Jun 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
766
36,794
0
25 Aug 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Modern hierarchical, agglomerative clustering algorithms
Modern hierarchical, agglomerative clustering algorithms
Daniel Müllner
166
665
0
12 Sep 2011

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.