Results 71 to 80 of about 695,054 (265)

Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study

open access: yesJournal of Imaging
The increasing use of high-resolution cross-sectional imaging has significantly enhanced the detection of pancreatic cystic lesions (PCLs), including pseudocysts and neoplastic entities such as IPMN, MCN, and SCN. However, accurate categorization of PCLs
Neus Torra-Ferrer   +11 more
doaj   +1 more source

A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI

open access: yesFrontiers in Oncology, 2023
Skin cancer is a serious disease that affects people all over the world. Melanoma is an aggressive form of skin cancer, and early detection can significantly reduce human mortality. In the United States, approximately 97,610 new cases of melanoma will be
Naveed Ahmad   +8 more
doaj   +1 more source

Hybrid Models with Deep and Invertible Features

open access: yesCoRR, 2019
We propose a neural hybrid model consisting of a linear model defined on a set of features computed by a deep, invertible transformation (i.e. a normalizing flow). An attractive property of our model is that both p(features), the density of the features, and p(targets | features), the predictive distribution, can be computed exactly in a single feed ...
Eric, N   +4 more
openaire   +4 more sources

Deep-FS: A feature selection algorithm for Deep Boltzmann Machines [PDF]

open access: yesNeurocomputing, 2018
A Deep Boltzmann Machine is a model of a Deep Neural Network formed from multiple layers of neurons with nonlinear activation functions. The structure of a Deep Boltzmann Machine enables it to learn very complex relationships between features and facilitates advanced performance in learning of high-level representation of features, compared to ...
Taherkhani, A, Cosma, G, McGinnity, TM
openaire   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte   +5 more
wiley   +1 more source

Psychosocial Functioning After Pediatric Bone Sarcoma: Generic and Survivor‐Specific Outcomes in Adolescent and Young Adult Patients

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek   +14 more
wiley   +1 more source

A Spectrogram-Based Deep Feature Assisted Computer-Aided Diagnostic System for Parkinson’s Disease

open access: yesIEEE Access, 2020
Parkinson's disease is a neural degenerative disease. It slowly progresses from mild to severe stage, resulting in the degeneration of dopamine cells of neurons. Due to the deficiency of dopamine cells in the brain, it leads to a motor (tremor, slowness,
Laiba Zahid   +7 more
doaj   +1 more source

Ironic Medications: A Narrative‐Based Psycho‐Educational Intervention to Explore Patient–Provider Communication in Adolescents With Haematological Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa   +7 more
wiley   +1 more source

Enhanced Multi-Class Breast Cancer Classification from Whole-Slide Histopathology Images Using a Proposed Deep Learning Model

open access: yesDiagnostics
Background/Objectives: Breast cancer is among the most frequently diagnosed cancers and leading cause of mortality worldwide. The accurate classification of breast cancer from the histology photographs is very important for the diagnosis and effective ...
Adnan Rafiq   +4 more
doaj   +1 more source

Incidence and Severity of Carboplatin‐Associated Hearing Loss in Children With Cancer Assessed by the SIOP Boston 2012 Ototoxicity Criteria

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla   +6 more
wiley   +1 more source

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