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Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D
  Medical Image Segmentation

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation

6 July 2024
Suruchi Kumari
Aryan Das
S. K. Roy
Indu Joshi
Pravendra Singh
ArXivPDFHTML

Papers citing "Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation"

10 / 10 papers shown
Title
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi
Hamza Kheddar
Yassine Himeur
Adel Belouchrani
Erchin Serpedin
Fouad Khelifi
Muhammad E.H. Chowdhury
LM&MA
41
0
0
30 Mar 2025
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better
  Unsupervised Visual Representations
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual Representations
Nikolaos Giakoumoglou
Tania Stathaki
SSL
38
2
0
03 Oct 2024
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical
  Image Segmentation
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
Suruchi Kumari
Pravendra Singh
27
1
0
12 May 2024
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Yunhao Bai
Duowen Chen
Qingli Li
Wei Shen
Yan Wang
36
122
0
01 May 2023
Voxel-wise Adversarial Semi-supervised Learning for Medical Image
  Segmentation
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation
Chae-Eun Lee
H. Park
Y. Shin
Minyoung Chung
19
8
0
14 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
388
4,110
0
28 Jan 2022
Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu
Z. Ge
Donghao Zhang
Minfeng Xu
Lei Zhang
Yong-quan Xia
Jianfei Cai
OOD
SSL
64
228
0
21 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
962
0
13 Dec 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
74,467
0
18 May 2015
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