WISeRKNet: wide slice residual Kronecker network for lung cancer detection based on CT images. [PDF]
Shanthi A, Satheesh Kumar S, Koppu S.
europepmc +1 more source
ABSTRACT Quinoa is a grain crop with excellent nutritional properties that has attracted global attention for its potential contribution to future food security in a changing climate. Despite its long history of cultivation, quinoa has been improved little by modern breeding and is a niche crop outside its native cultivation area.
Flavio Lozano‐Isla +3 more
wiley +1 more source
Measurement and modeling of diffuse ultraviolet radiation: A review
Solar UV radiation consists of direct and diffuse UV components. The diffuse component contributes to the exposure received by humans and to the risk of skin cancer and sun‐related eye disorders. This review aims to determine future research directions for the measurement and modeling of diffuse solar UV radiation.
Alfio V. Parisi +7 more
wiley +1 more source
Advances in cardiac devices and bioelectronics augmented with artificial intelligence
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark +3 more
wiley +1 more source
Automatic Childhood Pneumonia Diagnosis Based on Multi-Model Feature Fusion Using Chi-Square Feature Selection. [PDF]
Ouerhani A +3 more
europepmc +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Neonatal jaundice detection using a vision transformer-based deep learning model. [PDF]
Lotfi M +5 more
europepmc +1 more source
Cancer heterogeneity explored through immune cell deconvolution of the tumor microenvironment
Abstract Cancer is a highly heterogeneous disease, characterized by significant variability across multiple dimensions. This diversity has been extensively studied from various perspectives. In this study, we aim to examine cancer heterogeneity through the lens of immune cell composition within the tumor microenvironment.
Limin Jiang +4 more
wiley +1 more source
Clinical decisions in Orthodontics using x-ray-based images and artificial intelligence approaches: a scoping review. [PDF]
Oliveira PHJ +8 more
europepmc +1 more source

