Results 71 to 80 of about 5,255 (193)
Tuberculosis Diagnosis From X-Ray Images Using Deep Learning And Contrast Enhancement Techniques [PDF]
Tuberculosis (TB) is an infectious disease that poses a global health threat. Early diagnosis through chest X-ray (CXR) imaging is effective in reducing transmission and improving patient recovery rates.
Risma, Vita Melati, Utami, Ema
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VIEW, Volume 7, Issue 1, February 2026.In this study, we constructed a prognostic model for ccRCC patients treated with Sunitinib through a deep learning‐based multimodal approach. Our CGPR model further confirms the feasibility of integrating multimodal and provides guidance for future tumor patients to receive precision therapy.
Xi Tian +11 more
wiley +1 more source
Optimizing poultry disease classification: A feature-based transfer learning approach
Smart Agricultural TechnologyThe poultry industry is under pressure to meet the rising global demand for poultry products, driven by demographic trends and technological advancements in Industry 4.0.
Yang Luo +2 more
doaj +1 more source
Image Caption Generator Using Densenet201 and Resnet50
International Journal of Future Computer and CommunicationImage Caption generation is an important research area in computer vision and natural language processing. This paper compares two popular Convolutional Neural Network (CNN) architectures, DenseNet201 and ResNet50, for feature extraction in the title generation task.
openaire +1 more source
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
Expert Systems, Volume 43, Issue 2, February 2026.ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source
A Method for Identification of Humans From Dorsal Hand Sub-Images Using Siamese Network Models
IEEE AccessThis study proposes a method for person identification utilising Siamese networks, knuckle crease patterns, and fingernail sub-images. The framework incorporates automatic localisation of multiple regions of interest (ROI) within hand images, component ...
Mona Alghamdi, Alvaro Lopez Pellicer
doaj +1 more source
Validation of a Trained AI Imaging Model for Detecting Diabetic Foot Deformities
International Wound Journal, Volume 23, Issue 2, February 2026.ABSTRACT Diabetes is a leading cause of morbidity and mortality, contributing to complications such as cardiovascular disease, kidney failure and lower‐limb amputations. Diabetic foot complications, such as structural deformities, ulceration and infection, present significant risks, necessitating early detection and intervention.
Kher Li Teoh +3 more
wiley +1 more source
Deep Learning-Based Approaches for Breast Cancer Detection and Diagnosis [PDF]
Background: Breast cancer is a disease that develops in breast tissue as a result of internal and external factors, such as genetic mutations, lifestyle, environmental exposure, and psychological and social factors. The overall incidence of breast cancer
Mohammed, Sura Jasim
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International Journal of Osteoarchaeology, Volume 36, Issue 1, Page 13-27, January/February 2026.ABSTRACT Lions (Panthera leo) are apex predators with a well‐documented influence on ecological dynamics, yet their potential role as bone‐accumulating agents remains poorly understood and often debated. Previous taphonomic studies have largely attributed bone accumulations in African savannah ecosystems to other carnivores, such as spotted hyenas ...
Blanca Jiménez‐García +2 more
wiley +1 more source
Journal of ImagingThis research study utilized artificial intelligence (AI) to detect natural disasters from aerial images. Flooding and desertification were two natural disasters taken into consideration.
Kim VanExel +2 more
doaj +1 more source