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Recent trend in medical imaging modalities and their applications in disease diagnosis: a review
Medical Imaging (MI) plays a crucial role in healthcare, including disease diagnosis,
treatment, and continuous monitoring. The integration of non-invasive techniques such as X …
treatment, and continuous monitoring. The integration of non-invasive techniques such as X …
Artificial intelligence in CT and MR imaging for oncological applications
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
[PDF][PDF] From pixels to diagnoses: deep learning's impact on medical image processing-a survey
In healthcare, medical image processing is considered one of the most significant
procedures used in diagnosing pathological conditions. Magnetic resonance imaging (MRI) …
procedures used in diagnosing pathological conditions. Magnetic resonance imaging (MRI) …
Recent advancements and future prospects in active deep learning for medical image segmentation and classification
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities-Challenges and future directions
Brain tumor segmentation and classification play a crucial role in the diagnosis and
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …
records, particularly those related to academic achievements, which are essential in …
Broadband Flexible Photodetectors Based on CdSxSe1–x/PbI2 Heterojunctions
2D photodetectors can considerably outperform their Si counterparts and thus appear
promising for contemporary optoelectronic circuits. However, limited charge separation …
promising for contemporary optoelectronic circuits. However, limited charge separation …
Tuning performance of heterojunction flexible photodetectors by energy band alignment engineering
Exploring innovative constituents in one-dimensional (1D) nanomaterials and integrating
them with two-dimensional (2D) van der Waals (vdW) materials are in high demand as a …
them with two-dimensional (2D) van der Waals (vdW) materials are in high demand as a …
Classification of diabetic retinopathy severity in fundus images using the vision transformer and residual attention
Z Gu, Y Li, Z Wang, J Kan, J Shu… - Computational …, 2023 - Wiley Online Library
Diabetic retinopathy (DR) is a common retinal vascular disease, which can cause severe
visual impairment. It is of great clinical significance to use fundus images for intelligent …
visual impairment. It is of great clinical significance to use fundus images for intelligent …
[HTML][HTML] On 3d reconstruction using rgb-d cameras
The representation of the physical world is an issue that concerns the scientific community
studying computer vision, more and more. Recently, research has focused on modern …
studying computer vision, more and more. Recently, research has focused on modern …