Results 1 to 10 of about 3,671 (212)
Applied Sciences (Switzerland), 2019 As demonstrated in hybrid connectionist temporal classification (CTC)/Attention architecture, joint training with a CTC objective is very effective to solve the misalignment problem existing in the attention-based end-to-end automatic speech recognition (
Yonghong Yan, Wu Long, Yan Yonghong
exaly +3 more sources
Pain Research and Management, 2023 Background. A qualitative evaluation study of the prematurely terminated PrEgabalin Lidocaine Capsaicin Neuropathic Pain (PELICAN) study was performed.
Guy H. Hans +8 more
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Application progress of liquid biopsy in gastric cancer
Frontiers in Oncology, 2022 Gastric cancer (GC) is one of the most common malignant tumors globally. Guiding the individualized treatment of GC is the focus of research. Obtaining representative biological samples to study the biological characteristics of GC is the focus of ...
Xiaoting Ma, Kai Ou, Xiu Liu, Lin Yang
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A comparative study of the capability of MSCs isolated from different human tissue sources to differentiate into neuronal stem cells and dopaminergic-like cells [PDF]
PeerJ, 2022 Background Neurodegenerative diseases are characterized by progressive neuronal loss and degeneration. The regeneration of neurons is minimal and neurogenesis is limited only to specific parts of the brain.
Nidaa A. Ababneh +3 more
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Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence tasks
CoRR, 2022 Sequence-to-Sequence (seq2seq) tasks transcribe the input sequence to a target sequence. The Connectionist Temporal Classification (CTC) criterion is widely used in multiple seq2seq tasks. Besides predicting the target sequence, a side product of CTC is to predict the alignment, which is the most probable input-long sequence that specifies a hard ...
Jinchuan Tian +5 more
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Zhongliu Fangzhi Yanjiu, 2020 Objective To investigate the early and accurate prediction of recurrence and metastasis of stage ⅢB gastric cancer by CEA, PAK5 combined with CTC. Methods ELISA and multiple RNA/DNA in situ analysis were used to detect CEA, PAK5, CTC and imaging CT at ...
SHI Jian, YUAN Meng
doaj +1 more source
Amharic OCR: An End-to-End Learning
Applied Sciences, 2020 In this paper, we introduce an end-to-end Amharic text-line image recognition approach based on recurrent neural networks. Amharic is an indigenous Ethiopic script which follows a unique syllabic writing system adopted from an ancient Geez script.
Birhanu Belay +5 more
doaj +1 more source
Radiology and Oncology, 2021 Circulating tumor cells (CTCs) have become an important biomarker in breast cancer. Different isolation tech-niques based on their biological or physical features were established.
Jesenko Tanja +8 more
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Significance of CTC and CTEC values in the peripheral blood of subjects with skin tumors
Pifu-xingbing zhenliaoxue zazhi, 2023 Objective To investigate the clinical utility of identifying circulating tumor cells (CTC) and circulating tumorigenic endothelial cells (CTEC) in skin malignancies. Methods Subtraction enrichment-immunostaining and fluorescence in situ hybridization (SE-
Guiyue CAI +5 more
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LV-CTC: Non-Autoregressive ASR With CTC and Latent Variable Models
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023 Non-autoregressive (NAR) models for automatic speech recognition (ASR) aim to achieve high accuracy and fast inference by simplifying the autoregressive (AR) generation process of conventional models. Connectionist temporal classification (CTC) is one of the key techniques used in NAR ASR models.
Yuya Fujita +3 more
openaire +2 more sources