A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
[HTML][HTML] A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges
A substantial body of research has been published in artificial intelligence due to the rising
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …
A collaborative multi-task learning method for BI-RADS category 4 breast lesion segmentation and classification of MRI images
L Sun, Y Zhang, T Liu, H Ge, J Tian, X Qi, J Sun… - Computer Methods and …, 2023 - Elsevier
Background and objective: The diagnosis of BI-RADS category 4 breast lesion is difficult
because its probability of malignancy ranges from 2% to 95%. For BI-RADS category 4 …
because its probability of malignancy ranges from 2% to 95%. For BI-RADS category 4 …
Convolutional neural networks-based method for skin hydration measurements in high resolution MRI
Abstract High-resolution Magnetic Resonance Imaging (MRI) allows the visualization of the
anatomy of different skin layers and provides a wide range of physical and biochemical …
anatomy of different skin layers and provides a wide range of physical and biochemical …
An interpretable CNN-based CAD system for skin lesion diagnosis
J Lopez-Labraca, I Gonzalez-Diaz… - Artificial Intelligence in …, 2022 - Elsevier
Recently, convolutional neural networks have greatly outperformed previous systems based
on handcrafted features once the size of public databases has increased. However, these …
on handcrafted features once the size of public databases has increased. However, these …
Cross-Domain Mutual-Assistance Learning Framework for Fully Automated Diagnosis of Primary Tumor in Nasopharyngeal Carcinoma
X Dong, K Yang, J Liu, F Tang, W Liao… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Accurate T-staging of nasopharyngeal carcinoma (NPC) holds paramount importance in
guiding treatment decisions and prognosticating outcomes for distinct risk groups …
guiding treatment decisions and prognosticating outcomes for distinct risk groups …
Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging
Ultrasound imaging has been widely used in clinical examinations owing to the advantages
of being portable, real-time, and radiation-free. Considering the potential of extensive …
of being portable, real-time, and radiation-free. Considering the potential of extensive …