Results 41 to 50 of about 2,787,379 (259)

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo, Miriam A. Bornhorst, Angela J. Waanders, Sara Zarnegar‐Lumley, Ashwin Lakshman Koppayi, Lucy A. Godley   +5 more
wiley   +1 more source

Decision-Making on the Diagnosis of Oncological Diseases Using Cost-Sensitive SVM Classifiers Based on Datasets with a Variety of Features of Different Natures

Mathematics
This paper discusses the problem of detecting cancer using such biomarkers as blood protein markers. The purpose of this research is to propose an approach for making decisions in the diagnosis of cancer through the creation of cost-sensitive SVM ...
Liliya A. Demidova
doaj   +1 more source

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

Pediatric 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, Heleen Maurice‐Stam, Laura R. Beek, Jennifer van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff‐Lentink, Alied M. van der Aa‐van Delden, Anne Westerweel, Marloes van Gorp, Hendrik W. B. Schreuder, Lianne M. Haveman, W. Peter Bekkering, Leonie G. Tigelaar, Johannes H. M. Merks, Martha A. Grootenhuis   +14 more
wiley   +1 more source

Bayesian Sampling Plan for Weibull Distribution with Type II Hybrid Censoring under Random Decision Function

Revstat Statistical Journal
This article studies the problem of conception of a Bayesian single variable sampling plan for Weibull distribution under type II hybrid censoring based on two-sided decision function with a linear random doubt zone.
Hacène Belbachir, Mohamed Benahmed
doaj   +1 more source

Blood Cell Detection Method Based on Improved YOLOv5

IEEE Access, 2023
In order to solve the problems of low accuracy and missed detection in traditional blood cell data detection tasks. This paper proposes and implements the blood cell detection method based on the YOLOv5 (YOLOv5-ALT).
Yecai Guo, Mengyao Zhang
doaj   +1 more source

On UMAP's true loss function

, 2021
UMAP has supplanted t-SNE as state-of-the-art for visualizing high-dimensional datasets in many disciplines, but the reason for its success is not well understood. In this work, we investigate UMAP's sampling based optimization scheme in detail. We derive UMAP's effective loss function in closed form and find that it differs from the published one.
Sebastian Damrich, Fred A. Hamprecht
openaire   +3 more sources

A Decidability-Based Loss Function

2022 International Joint Conference on Neural Networks (IJCNN), 2022
23 pages, 7 ...
Pedro Silva 0004, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva 0001, David Menotti, Eduardo Luz 0001   +5 more
openaire   +2 more sources

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

Pediatric 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, Sean Carter, Andrew Wood, Sandra Staffieri, Andrew Dodgshun, David D. Eisenstat, Michael Sullivan   +6 more
wiley   +1 more source

Segmentation Studies on Al‐Si‐Mg Metallographic Images Using Various Different Deep Learning Algorithms and Loss Functions

Engineering Reports
Segmenting metallographic pictures is being done in material science and related domains in order to detect the features within them. Therefore, it becomes crucial to find grains and secondary phase particles.
Abeyram M. Nithin, Murukessan Perumal, M. J. Davidson, M. Srinivas, C. S. P. Rao, Katika Harikrishna, Jayant Jagtap, Abhijit Bhowmik, A. Johnson Santhosh   +8 more
doaj   +1 more source

AMWSPLAdaboost Credit Card Fraud Detection Method Based on Enhanced Base Classifier Diversity

IEEE Access, 2023
With the popularity of online transactions, credit card fraud incidents are occurring more and more frequently, and adaptive enhancement (Adaboost) models are most often used in credit card fraud detection, so how to improve the robustness of the ...
Wang Ning, Siliang Chen, Songyi Lei, Xiongbin Liao   +3 more
doaj   +1 more source