Contextual PolSAR image classification using fractal dimension and support vector machines [PDF]
Hossein Aghababaee +2 more
openalex +1 more source
Hybrid State-Space and Vision Transformer Framework for Fetal Ultrasound Plane Classification in Prenatal Diagnostics. [PDF]
Tehsin S +3 more
europepmc +1 more source
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung +7 more
wiley +1 more source
Detection and diagnosis of diabetic retinopathy in retinal fundus images using agentic AI approaches. [PDF]
Sathya R, Valaramathi A.
europepmc +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
FireMM-IR: An Infrared-Enhanced Multi-Modal Large Language Model for Comprehensive Scene Understanding in Remote Sensing Forest Fire Monitoring. [PDF]
Cao J, Liu X, Xue R.
europepmc +1 more source
Immune‐Driven Expression in Inclusion Body Myositis With T‐Cell Large Granular Lymphocytic Leukemia
ABSTRACT Objectives T‐cell large granular lymphocytic leukemia (T‐LGLL), reported in up to 58% of inclusion body myositis (IBM) patients, is a rare leukemia of cytotoxic or less commonly helper T cells. The range of myopathies in T‐LGLL and the impact of coexisting T‐LGLL in IBM are not well understood. Our objectives are to investigate the spectrum of
Pannathat Soontrapa +10 more
wiley +1 more source
Breast cancer classification based on microcalcifications using dual branch vision transformer fusion. [PDF]
Elumalai S, Rajendran S, Khalid M.
europepmc +1 more source
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman +9 more
wiley +1 more source

