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[HTML][HTML] Artificial intelligence in detection, management, and prognosis of bone metastasis: a systematic review
GF Papalia, P Brigato, L Sisca, G Maltese, E Faiella… - Cancers, 2024 - mdpi.com
Simple Summary Bone metastases represent a serious and common challenge in advanced
cancer patients, making early detection crucial. The growing implementation of artificial …
cancer patients, making early detection crucial. The growing implementation of artificial …
[HTML][HTML] Enhancing medical image denoising with innovative teacher–student model-based approaches for precision diagnostics
The realm of medical imaging is a critical frontier in precision diagnostics, where the clarity
of the image is paramount. Despite advancements in imaging technology, noise remains a …
of the image is paramount. Despite advancements in imaging technology, noise remains a …
Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets
O Attallah - Scientific Reports, 2024 - nature.com
Skin cancer (SC) is an important medical condition that necessitates prompt identification to
ensure timely treatment. Although visual evaluation by dermatologists is considered the …
ensure timely treatment. Although visual evaluation by dermatologists is considered the …
[HTML][HTML] Develo** a Comprehensive Oil Spill Detection Model for Marine Environments
Detecting oil spills in marine environments is crucial for avoiding environmental damage
and facilitating rapid response efforts. In this study, we propose a robust method for oil spill …
and facilitating rapid response efforts. In this study, we propose a robust method for oil spill …
A review of generative adversarial networks for computer vision tasks
AM Simion, Ș Radu, AM Florea - Electronics, 2024 - mdpi.com
In recent years, computer vision tasks have gained a lot of popularity, accompanied by the
development of numerous powerful architectures consistently delivering outstanding results …
development of numerous powerful architectures consistently delivering outstanding results …
[HTML][HTML] Brain tumor detection and classification using an optimized convolutional neural network
Brain tumors are a leading cause of death globally, with numerous types varying in
malignancy, and only 12% of adults diagnosed with brain cancer survive beyond five years …
malignancy, and only 12% of adults diagnosed with brain cancer survive beyond five years …
Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection
Ship fire detection presents significant challenges in computer vision-based approaches
due to factors such as the considerable distances from which ships must be detected and …
due to factors such as the considerable distances from which ships must be detected and …
[HTML][HTML] Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency
Medical imaging plays an essential role in modern healthcare, providing non-invasive tools
for diagnosing and monitoring various medical conditions. However, the resolution …
for diagnosing and monitoring various medical conditions. However, the resolution …
Deep-learning-based 3D super-resolution CT radiomics model: Predict the possibility of the micropapillary/solid component of lung adenocarcinoma
X **ng, L Li, M Sun, J Yang, X Zhu, F Peng, J Du… - Heliyon, 2024 - cell.com
Objective Invasive lung adenocarcinoma (ILA) with micropapillary (MPP)/solid (SOL)
components has a poor prognosis. Preoperative identification is essential for decision …
components has a poor prognosis. Preoperative identification is essential for decision …
Using Segmentation to Boost Classification Performance and Explainability in CapsNets
In this paper, we present Combined-CapsNet (C-CapsNet), a novel approach aimed at
enhancing the performance and explainability of Capsule Neural Networks (CapsNets) in …
enhancing the performance and explainability of Capsule Neural Networks (CapsNets) in …