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Lung cancer classification using optimized attention-based convolutional neural network with DenseNet-201 transfer learning model on CT image
G Mohandass, GH Krishnan, D Selvaraj… - … Signal Processing and …, 2024 - Elsevier
In this paper, the Lung Cancer Classification using Convolutional Neural Network with
DenseNet-201 Transfer Learning model optimized through Namib Beetle Optimization …
DenseNet-201 Transfer Learning model optimized through Namib Beetle Optimization …
Graph-enhanced ensembles of multi-scale structure perception deep architecture for fetal ultrasound plane recognition
Ultrasound imaging plays a pivotal role in assessing fetal health and diagnosing diseases.
However, the inherent challenges posed by the high similarity of certain fetal anatomical …
However, the inherent challenges posed by the high similarity of certain fetal anatomical …
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images
B-mode ultrasound (BUS) mainly reflects the tissue structural, morphological, and echo
characteristics of liver tumors, and contrast-enhanced ultrasound (CEUS) offers …
characteristics of liver tumors, and contrast-enhanced ultrasound (CEUS) offers …
Multi-granularity classification of upper gastrointestinal endoscopic images
W Hua, D Yi, S Hu, G Zhu, Y Ding, M Pang - Neurocomputing, 2025 - Elsevier
The classification of upper gastrointestinal endoscopic images is crucial for enhancing
diagnostic performance and improving patient survival rates. Current research in this area …
diagnostic performance and improving patient survival rates. Current research in this area …
FBENet: Feature-Level Boosting Ensemble Network for Hashimoto's Thyroiditis Ultrasound Image Classification
W Jiang, T Luo, Z Liang, K Chen, J He… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Distinguishing Hashimoto's thyroiditis (HT) lesions from ordinary thyroid tissues is difficult
with ultrasound images. Challenges in achieving high performance of HT ultrasound image …
with ultrasound images. Challenges in achieving high performance of HT ultrasound image …
Ocular Disease Detection with Deep Learning (Fine-Grained Image Categorization) Applied to Ocular B-Scan Ultrasound Images
X Ye, S He, R Dan, S Yang, J Xv, Y Lu, B Wu… - Ophthalmology and …, 2024 - Springer
Introduction The aim of this work is to develop a deep learning (DL) system for rapidly and
accurately screening for intraocular tumor (IOT), retinal detachment (RD), vitreous …
accurately screening for intraocular tumor (IOT), retinal detachment (RD), vitreous …
LSANet: Lesion-Specific Attention Network for Monkeypox Categorization
Monkeypox caused by the monkeypox virus is a disease of global public health importance,
whose case fatality ratio has been around 3–6% recently. Considering that computer-aided …
whose case fatality ratio has been around 3–6% recently. Considering that computer-aided …
A hardware architecture design for interference rejection of ultrasound signals based on FPGA
Y Lin, H Chen, Z Wu - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Ultrasonic sensing and imaging technology based on the working principle of ultrasound
has a wide range of applications in several practical application scenarios, such as spatial …
has a wide range of applications in several practical application scenarios, such as spatial …