[HTML][HTML] Transformers in medical image analysis

K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang… - Intelligent …, 2023 - Elsevier
Transformers have dominated the field of natural language processing and have recently
made an impact in the area of computer vision. In the field of medical image analysis …

Rethinking camouflaged object detection: Models and datasets

H Bi, C Zhang, K Wang, J Tong… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Camouflaged object detection (COD) is an emerging visual detection task, which aims to
locate and distinguish the disguised target in complex backgrounds by imitating the human …

Zoom in and out: A mixed-scale triplet network for camouflaged object detection

Y Pang, X Zhao, TZ Xiang… - Proceedings of the …, 2022 - openaccess.thecvf.com
The recently proposed camouflaged object detection (COD) attempts to segment objects that
are visually blended into their surroundings, which is extremely complex and difficult in real …

Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

W Wang, E Xie, X Li, DP Fan, K Song… - Proceedings of the …, 2021 - openaccess.thecvf.com
Although convolutional neural networks (CNNs) have achieved great success in computer
vision, this work investigates a simpler, convolution-free backbone network useful for many …

Polyp-pvt: Polyp segmentation with pyramid vision transformers

B Dong, W Wang, DP Fan, J Li, H Fu, L Shao - arXiv preprint arXiv …, 2021 - arxiv.org
Most polyp segmentation methods use CNNs as their backbone, leading to two key issues
when exchanging information between the encoder and decoder: 1) taking into account the …

Automatic polyp segmentation via multi-scale subtraction network

X Zhao, L Zhang, H Lu - … , Strasbourg, France, September 27–October 1 …, 2021 - Springer
More than 90% of colorectal cancer is gradually transformed from colorectal polyps. In
clinical practice, precise polyp segmentation provides important information in the early …

Full-duplex strategy for video object segmentation

GP Ji, K Fu, Z Wu, DP Fan, J Shen… - Proceedings of the …, 2021 - openaccess.thecvf.com
Appearance and motion are two important sources of information in video object
segmentation (VOS). Previous methods mainly focus on using simplex solutions, lowering …

Camouflaged object detection via context-aware cross-level fusion

G Chen, SJ Liu, YJ Sun, GP Ji, YF Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Camouflaged object detection (COD) aims to identify the objects that conceal themselves in
natural scenes. Accurate COD suffers from a number of challenges associated with low …

Fast camouflaged object detection via edge-based reversible re-calibration network

GP Ji, L Zhu, M Zhuge, K Fu - Pattern Recognition, 2022 - Elsevier
Abstract Camouflaged Object Detection (COD) aims to detect objects with similar patterns
(eg, texture, intensity, colour, etc) to their surroundings, and recently has attracted growing …

Deep gradient learning for efficient camouflaged object detection

GP Ji, DP Fan, YC Chou, D Dai, A Liniger… - Machine Intelligence …, 2023 - Springer
This paper introduces deep gradient network (DGNet), a novel deep framework that exploits
object gradient supervision for camouflaged object detection (COD). It decouples the task …