Results 51 to 60 of about 3,096,410 (281)
LSTM Network and OCR Performance for Classification of Decimal Dewey Classification Code
Record and Library Journal, 2020 Background of the study: Giving book code by a librarian in accordance with the Decimal Dewey Classification system aims to facilitate the search for books on the shelf precisely and quickly.
Yesy Diah Rosita +1 more
doaj +1 more source
Predicting Classification Performance for Benchmark Hyperspectral Datasets
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The classification of hyperspectral images (HSIs) is an essential application of remote sensing and it is addressed by numerous publications every year.
Bin Zhao +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm +10 more
wiley +1 more source
Exploring Symmetry of Binary Classification Performance Metrics [PDF]
, 2019 Selecting the proper performance metric constitutes a key issue for most classification problems in the field of machine learning. Although the specialized literature has addressed several topics regarding these metrics, their symmetries have yet to be ...
Aguayo-González, Francisco (Coordinador) +5 more
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Outcomes for pediatric relapsed/refractory (R/R) acute myeloid leukemia (AML) remain dismal. CPX‐351, a liposomal formulation of cytarabine and daunorubicin, may have less off‐target toxicities than traditional chemotherapies and has shown improved outcomes for adults with newly diagnosed therapy‐related AML.
Jonathan D. Bender +17 more
wiley +1 more source
Approximate logic dendritic neuron model classification based on improved DE algorithm
PaladynClassification is a core task in pattern recognition, with broad applications in image processing, speech recognition, and medical diagnostics. Traditional neural networks often suffer from difficulties in parameter optimization and local optima, while ...
Liu Chunxia
doaj +1 more source
Back‐dropout transfer learning for action recognition
IET Computer Vision, 2018 Transfer learning aims at adapting a model learned from source dataset to target dataset. It is a beneficial approach especially when annotating on the target dataset is expensive or infeasible.
Huamin Ren +7 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteonecrosis (ON) is a debilitating complication of acute lymphoblastic leukemia (ALL) therapy. While numerous studies have explored its incidence and associated risk factors, investigations using large‐scale cohorts remain important to characterize ON across heterogeneous populations.
Noémie de Villiers +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source