Recent trend in medical imaging modalities and their applications in disease diagnosis: a review

B Abhisheka, SK Biswas, B Purkayastha, D Das… - Multimedia Tools and …, 2024 - Springer
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 …

Artificial intelligence in CT and MR imaging for oncological applications

R Paudyal, AD Shah, O Akin, RKG Do, AS Konar… - Cancers, 2023 - mdpi.com
Simple Summary The two most common cross-sectional imaging modalities, computed
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

MM Mijwil, AH Al-Mistarehi, M Abotaleb… - Wasit Journal of …, 2023 - iasj.net
In healthcare, medical image processing is considered one of the most significant
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

T Mahmood, A Rehman, T Saba, L Nadeem… - IEEE …, 2023 - ieeexplore.ieee.org
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
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

A Batool, YC Byun - Computers in Biology and Medicine, 2024 - Elsevier
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 …

Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes

U Farooq, S Naseem, T Mahmood, J Li… - The Journal of …, 2024 - Springer
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …

Broadband Flexible Photodetectors Based on CdSxSe1–x/PbI2 Heterojunctions

MZ Nawaz, H Gulzar, IM ul Hasan… - ACS Applied …, 2024 - ACS Publications
2D photodetectors can considerably outperform their Si counterparts and thus appear
promising for contemporary optoelectronic circuits. However, limited charge separation …

Tuning performance of heterojunction flexible photodetectors by energy band alignment engineering

MZ Nawaz, M Bilal, H Gulzar, H Gulzar… - ACS Applied Nano …, 2024 - ACS Publications
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 …

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 …

[HTML][HTML] On 3d reconstruction using rgb-d cameras

KA Tychola, I Tsimperidis, GA Papakostas - Digital, 2022 - mdpi.com
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 …