SIB-UNet: A dual encoder medical image segmentation model with selective fusion and information bottleneck fusion
G Li, M Qi - Expert Systems with Applications, 2024 - Elsevier
Medical image segmentation aims to accurately mark the lesion area in the image to assist
doctors in disease diagnosis and guidance of surgical operations. However, the shape and …
doctors in disease diagnosis and guidance of surgical operations. However, the shape and …
dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation
In medical practice, polyp segmentation holds immense significance for early Colorectal
Cancer diagnosis. Over the past decade, techniques based on Deep Learning (DL) have …
Cancer diagnosis. Over the past decade, techniques based on Deep Learning (DL) have …
MSGAT: Multi-scale gated axial reverse attention transformer network for medical image segmentation
Y Liu, H Yun, Y Xia, J Luan, M Li - Biomedical Signal Processing and …, 2024 - Elsevier
Medical image segmentation can help doctors accurately identify and locate various
structures, tissues, or lesions in the patient's body, providing an important basis for clinical …
structures, tissues, or lesions in the patient's body, providing an important basis for clinical …
Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation
Conventional radiomics analysis requires the manual segmentation of lesions, which is time-
consuming and subjective. This study aimed to assess the feasibility of predicting muscle …
consuming and subjective. This study aimed to assess the feasibility of predicting muscle …
MDER-Net: A Multi-Scale Detail-Enhanced Reverse Attention Network for Semantic Segmentation of Bladder Tumors in Cystoscopy Images
C Nie, C Xu, Z Li - Mathematics, 2024 - mdpi.com
White light cystoscopy is the gold standard for the diagnosis of bladder cancer. Automatic
and accurate tumor detection is essential to improve the surgical resection of bladder cancer …
and accurate tumor detection is essential to improve the surgical resection of bladder cancer …