Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism

T Zhou, S Canu, S Ruan - International Journal of Imaging …, 2021 - Wiley Online Library
Abstract The coronavirus disease (COVID‐19) pandemic has led to a devastating effect on
the global public health. Computed Tomography (CT) is an effective tool in the screening of …

One-pass multi-task networks with cross-task guided attention for brain tumor segmentation

C Zhou, C Ding, X Wang, Z Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Class imbalance has emerged as one of the major challenges for medical image
segmentation. The model cascade (MC) strategy, a popular scheme, significantly alleviates …

Phage_UniR_LGBM: phage virion proteins classification with UniRep features and LightGBM model

W Bao, Q Cui, B Chen, B Yang - … and mathematical methods in …, 2022 - Wiley Online Library
Phage, the most prevalent creature on the planet, serves a variety of critical roles. Phage's
primary role is to facilitate gene‐to‐gene communication. The phage proteins can be …

A survey on protein–DNA-binding sites in computational biology

Y Zhang, W Bao, Y Cao, H Cong… - Briefings in functional …, 2022 - academic.oup.com
Transcription factors are important cellular components of the process of gene expression
control. Transcription factor binding sites are locations where transcription factors …

What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review

AV Matias, JGA Amorim, LAB Macarini… - … Medical Imaging and …, 2021 - Elsevier
Cytology is a low-cost and non-invasive diagnostic procedure employed to support the
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …

[HTML][HTML] Deep multiple-instance learning for abnormal cell detection in cervical histopathology images

A Pal, Z Xue, K Desai, AAF Banjo, CA Adepiti… - Computers in Biology …, 2021 - Elsevier
Cervical cancer is a disease of significant concern affecting women's health worldwide.
Early detection of and treatment at the precancerous stage can help reduce mortality. High …

Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images

H Hu, L Shen, Q Guan, X Li, Q Zhou, S Ruan - Pattern Recognition, 2022 - Elsevier
Due to the irregular shapes, various sizes and indistinguishable boundaries between the
normal and infected tissues, it is still a challenging task to accurately segment the infected …

Automated CT pancreas segmentation for acute pancreatitis patients by combining a novel object detection approach and U-Net

Y Deng, L Lan, L You, K Chen, L Peng, W Zhao… - … signal processing and …, 2023 - Elsevier
Acute pancreatitis is an inflammatory disorder of the pancreas. Medical imaging, such as
computed tomography (CT), has been widely used to detect volume changes in the …

Cascaded convolution-based transformer with densely connected mechanism for spectral–spatial hyperspectral image classification

B Zu, Y Li, J Li, Z He, H Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral image (HSI) classification attempts to classify each pixel, which is an
important means of obtaining land-cover knowledge. HSIs are cubic data with spectral …

MC-Unet: Multi-scale convolution unet for bladder cancer cell segmentation in phase-contrast microscopy images

H Hu, Y Zheng, Q Zhou, J Xiao… - … on Bioinformatics and …, 2019 - ieeexplore.ieee.org
Owing to the high density, low contrast, deformable cell shapes, low inter-cellular shape and
appearance variation, and occlusion of the cells by division or fusion especially in phase …