[HTML][HTML] Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …
disease due to its detrimental effects on society. As technology and medical diagnostics …
TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation
P Song, J Li, H Fan, L Fan - Computers in Biology and Medicine, 2023 - Elsevier
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis
and analysis. Currently, the successful application of Transformers' model in the field of …
and analysis. Currently, the successful application of Transformers' model in the field of …
TransCUNet: UNet cross fused transformer for medical image segmentation
S Jiang, J Li - Computers in Biology and Medicine, 2022 - Elsevier
Accurate segmentation of medical images is crucial for clinical diagnosis and evaluation.
However, medical images have complex shapes, the structures of different objects are very …
However, medical images have complex shapes, the structures of different objects are very …
[HTML][HTML] A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module
During the past three years, the coronavirus disease 2019 (COVID-19) has swept the world.
The rapid and accurate recognition of covid-19 pneumonia are, therefore, of great …
The rapid and accurate recognition of covid-19 pneumonia are, therefore, of great …
VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images
S Zhang, Z Yuan, X Zhou, H Wang, B Chen… - Computer Methods and …, 2024 - Elsevier
Background and objective: Gland segmentation of pathological images is an essential but
challenging step for adenocarcinoma diagnosis. Although deep learning methods have …
challenging step for adenocarcinoma diagnosis. Although deep learning methods have …
CSAP-UNet: Convolution and self-attention paralleling network for medical image segmentation with edge enhancement
X Fan, J Zhou, X Jiang, M Xin, L Hou - Computers in Biology and Medicine, 2024 - Elsevier
Convolution operation is performed within a local window of the input image. Therefore,
convolutional neural network (CNN) is skilled in obtaining local information. Meanwhile, the …
convolutional neural network (CNN) is skilled in obtaining local information. Meanwhile, the …
TACT: Text attention based CNN‐Transformer network for polyp segmentation
Y Zhao, J Li, Z Hua - International Journal of Imaging Systems …, 2024 - Wiley Online Library
Colorectal cancer (CRC) has been one of the top three disease in the world in terms of
incidence for many years. Therefore, how to prevent and treat CRC has become a topic of …
incidence for many years. Therefore, how to prevent and treat CRC has become a topic of …
MSMCNet: Differential context drives accurate localization and edge smoothing of lesions for medical image segmentation
K Peng, Y Li, Q Xia, T Liu, X Shi, D Chen, L Li… - Computers in Biology …, 2023 - Elsevier
Medical image segmentation plays a crucial role in clinical assistance for diagnosis. The
UNet-based network architecture has achieved tremendous success in the field of medical …
UNet-based network architecture has achieved tremendous success in the field of medical …
A shape-supervised feature fusion U-Net for tubular structure segmentation
J Yue, S Jin, S Wang, J Zeng, S Shan, B Liu… - Computers and …, 2024 - Elsevier
Accurate segmentation of tubular structures, such as blood vessels and bile ducts, is pivotal
for clinical diagnosis and subsequent treatment. However, challenges arise from their …
for clinical diagnosis and subsequent treatment. However, challenges arise from their …
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation
Accurate segmentation of skin lesions within dermoscopic images plays a crucial role in the
timely identification of skin cancer for computer-aided diagnosis on mobile platforms …
timely identification of skin cancer for computer-aided diagnosis on mobile platforms …