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Large-vocabulary forensic pathological analyses via prototypical
  cross-modal contrastive learning

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning

20 July 2024
Chen Shen
Chunfeng Lian
Wanqing Zhang
Fan Wang
Jianhua Zhang
Shuanliang Fan
Xin Wei
Gongji Wang
Kehan Li
Hongshu Mu
Hao Wu
Xinggong Liang
Jianhua Ma
Zhenyuan Wang
ArXivPDFHTML

Papers citing "Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning"

28 / 28 papers shown
Title
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
Sheng Zhang
Yanbo Xu
Naoto Usuyama
Hanwen Xu
J. Bagga
...
Carlo Bifulco
M. Lungren
Tristan Naumann
Sheng Wang
Hoifung Poon
LM&MA
MedIm
199
226
0
10 Jan 2025
Generalizable Whole Slide Image Classification with Fine-Grained
  Visual-Semantic Interaction
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
Hao Li
Ying Chen
Yifei Chen
Wenxian Yang
Bowen Ding
Yuchen Han
Liansheng Wang
Rongshan Yu
70
18
0
29 Feb 2024
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
M. S. Seyfioglu
Wisdom O. Ikezogwo
Fatemeh Ghezloo
Ranjay Krishna
Linda G. Shapiro
109
44
0
07 Dec 2023
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image
  Classification
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
R. Abdelfattah
Qing Guo
Xiaoguang Li
Xiang Wang
Song Wang
VLM
73
31
0
31 Jul 2023
Quilt-1M: One Million Image-Text Pairs for Histopathology
Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom O. Ikezogwo
M. S. Seyfioglu
Fatemeh Ghezloo
Dylan Stefan Chan Geva
Fatwir Sheikh Mohammed
Pavan Kumar Anand
Ranjay Krishna
Linda G. Shapiro
CLIP
VLM
280
125
0
20 Jun 2023
A Transformer-based representation-learning model with unified
  processing of multimodal input for clinical diagnostics
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou
Yizhou Yu
Chengdi Wang
Shu Zhen Zhang
Yuanxu Gao
Jia Pan
Jun Shao
Guangming Lu
Kang Zhang
Weimin Li
MedIm
83
165
0
01 Jun 2023
GIT: A Generative Image-to-text Transformer for Vision and Language
GIT: A Generative Image-to-text Transformer for Vision and Language
Jianfeng Wang
Zhengyuan Yang
Xiaowei Hu
Linjie Li
Kevin Qinghong Lin
Zhe Gan
Zicheng Liu
Ce Liu
Lijuan Wang
VLM
134
552
0
27 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
382
3,542
0
29 Apr 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
94
322
0
14 Apr 2022
Handcrafted Histological Transformer (H2T): Unsupervised Representation
  of Whole Slide Images
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images
Q. Vu
K. Rajpoot
S. Raza
Nasir M. Rajpoot
ViT
MedIm
49
33
0
14 Feb 2022
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
265
400
0
06 Nov 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLM
CLIP
284
1,042
0
09 Oct 2021
Attention Bottlenecks for Multimodal Fusion
Attention Bottlenecks for Multimodal Fusion
Arsha Nagrani
Shan Yang
Anurag Arnab
A. Jansen
Cordelia Schmid
Chen Sun
98
567
0
30 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
224
7,857
0
11 May 2021
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
685
6,079
0
29 Apr 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
194
1,015
0
04 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
925
29,436
0
26 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
384
6,768
0
23 Dec 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
272
7,384
0
06 Oct 2020
Domain-Specific Language Model Pretraining for Biomedical Natural
  Language Processing
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu
Robert Tinn
Hao Cheng
Michael R. Lucas
Naoto Usuyama
Xiaodong Liu
Tristan Naumann
Jianfeng Gao
Hoifung Poon
LM&MA
AI4CE
79
1,768
0
31 Jul 2020
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in
  Colorectal Cancer
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
C. Abbet
I. Zlobec
Behzad Bozorgtabar
Jean-Philippe Thiran
OOD
52
57
0
07 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
230
4,074
0
17 Jun 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
199
12,074
0
13 Nov 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
160
9,432
0
09 Feb 2018
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
169
5,000
0
27 Jun 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
215
4,262
0
04 Jun 2013
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