Recent advances and clinical applications of deep learning in medical image analysis

X Chen, X Wang, K Zhang, KM Fung, TC Thai… - Medical image …, 2022 - Elsevier
Deep learning has received extensive research interest in developing new medical image
processing algorithms, and deep learning based models have been remarkably successful …

A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

Y Mohamadou, A Halidou, PT Kapen - Applied Intelligence, 2020 - Springer
In the past few months, several works were published in regards to the dynamics and early
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …

Segment anything

A Kirillov, E Mintun, N Ravi, H Mao… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract We introduce the Segment Anything (SA) project: a new task, model, and dataset for
image segmentation. Using our efficient model in a data collection loop, we built the largest …

Efficient test-time model adaptation without forgetting

S Niu, J Wu, Y Zhang, Y Chen… - International …, 2022 - proceedings.mlr.press
Test-time adaptation provides an effective means of tackling the potential distribution shift
between model training and inference, by dynamically updating the model at test time. This …

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 …

Detecting camouflaged object in frequency domain

Y Zhong, B Li, L Tang, S Kuang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Camouflaged object detection (COD) aims to identify objects that are perfectly embedded in
their environment, which has various downstream applications in fields such as medicine …

Camouflaged object segmentation with distraction mining

H Mei, GP Ji, Z Wei, X Yang, X Wei… - Proceedings of the …, 2021 - openaccess.thecvf.com
Camouflaged object segmentation (COS) aims to identify objects that are" perfectly"
assimilate into their surroundings, which has a wide range of valuable applications. The key …

Concealed object detection

DP Fan, GP Ji, MM Cheng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …

Pranet: Parallel reverse attention network for polyp segmentation

DP Fan, GP Ji, T Zhou, G Chen, H Fu, J Shen… - … conference on medical …, 2020 - Springer
Colonoscopy is an effective technique for detecting colorectal polyps, which are highly
related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy …

Simultaneously localize, segment and rank the camouflaged objects

Y Lv, J Zhang, Y Dai, A Li, B Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Camouflage is a key defence mechanism across species that is critical to survival. Common
camouflage include background matching, imitating the color and pattern of the …