A New Few-Shot Learning Method of Digital PCR Image Detection

A New Few-Shot Learning Method of Digital PCR Image Detection

With the global pandemic of infectious diseases, the demand for accurate nucleic acid detection is daily increasing. The traditional threshold-based algorithms are adopted as the mainstream for processing the images of digital polymerase chain reaction (dPCR) now, but they are facing huge challenges...

Full description

Bibliographic Details
Main Authors:	Zhang Beini, Chen Xuee, Li Bo, Wen Weijia
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Access
Subjects:	Digital PCR few-shot learning deep neural network improved YOLOv3
Online Access:	https://ieeexplore.ieee.org/document/9433537/

Similar Items

Instance-Level Embedding Adaptation for Few-Shot Learning
by: Fusheng Hao, et al.
Published: (2019-01-01)

An Intrusion Detection Method Using Few-Shot Learning
by: Yingwei Yu, et al.
Published: (2020-01-01)

Deep Relation Network for Hyperspectral Image Few-Shot Classification
by: Kuiliang Gao, et al.
Published: (2020-03-01)

Adaptive Learning Knowledge Networks for Few-Shot Learning
by: Minghao Yan
Published: (2019-01-01)

Insulator Anomaly Detection Method Based on Few-Shot Learning
by: Zhaoyang Wang, et al.
Published: (2021-01-01)

Guided Networks for Few-Shot Image Segmentation and Fully Connected CRFs
by: Kun Zhang, et al.
Published: (2020-09-01)

Looking Back to Lower-Level Information in Few-Shot Learning
by: Zhongjie Yu, et al.
Published: (2020-07-01)

Few-Shot Rolling Bearing Fault Diagnosis with Metric-Based Meta Learning
by: Sihan Wang, et al.
Published: (2020-11-01)

Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images
by: Zixuan Xiao, et al.
Published: (2021-01-01)

Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning
by: Ansi Zhang, et al.
Published: (2019-01-01)

See you somewhere in the ocean: few-shot domain adaptive underwater object detection
by: Han, L., et al.
Published: (2023)

Few-Shot Object Detection via Sample Processing
by: Honghui Xu, et al.
Published: (2021-01-01)

Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-Label Learning
by: Chen Ding, et al.
Published: (2021-09-01)

Augmenting Few-Shot Learning With Supervised Contrastive Learning
by: Taemin Lee, et al.
Published: (2021-01-01)

Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching
by: Agnese Chiatti, et al.
Published: (2020-02-01)

Cross Modal Few-Shot Contextual Transfer for Heterogenous Image Classification
by: Zhikui Chen, et al.
Published: (2021-05-01)

Robust Compare Network for Few-Shot Learning
by: Yixin Yang, et al.
Published: (2020-01-01)

Task-Aware Feature Composition for Few-Shot Relation Classification
by: Deng, S., et al.
Published: (2022)

Insights into few shot learning approaches for image scene classification
by: Mohamed Soudy, et al.
Published: (2021-09-01)

Plant Leaves Classification: A Few-Shot Learning Method Based on Siamese Network
by: Bin Wang, et al.
Published: (2019-01-01)

Discriminativeness-Preserved Domain Adaptation for Few-Shot Learning
by: Guangzhen Liu, et al.
Published: (2020-01-01)

C-Norm: a neural approach to few-shot entity normalization
by: Arnaud Ferré, et al.
Published: (2020-12-01)

Few-Shot Learning with a Novel Voronoi Tessellation-Based Image Augmentation Method for Facial Palsy Detection
by: Olusola Oluwakemi Abayomi-Alli, et al.
Published: (2021-04-01)

Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection With Meta-Learning
by: Kun Fu, et al.
Published: (2019-01-01)

Classification and Fast Few-Shot Learning of Steel Surface Defects with Randomized Network
by: Czúni, L., et al.
Published: (2022)

Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation
by: Xian Sun, et al.
Published: (2021-01-01)

A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images
by: Athanasios Voulodimos, et al.
Published: (2021-03-01)

Feature Transformation Network for Few-Shot Learning
by: Xiaoyan Wang, et al.
Published: (2021-01-01)

Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation
by: Zhiying Cao, et al.
Published: (2019-01-01)

Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-The-Art Few-Shot Classification with Simple Components
by: Bendou, Y., et al.
Published: (2022)

Multilingual Zero-Shot and Few-Shot Causality Detection
by: Reimann, Sebastian Michael
Published: (2021)

A Deep Hybrid Few Shot Divide and Glow Method for Ill-Light Image Enhancement
by: Rizwan Khan, et al.
Published: (2021-01-01)

Hierarchically Structured Network With Attention Convolution and Embedding Propagation for Imbalanced Few-Shot Learning
by: Wei Xiong, et al.
Published: (2021-01-01)

Vul-Mirror: A Few-Shot Learning Method for Discovering Vulnerable Code Clone
by: Yuan He, et al.
Published: (2020-06-01)

Unsupervised Few-Shot Feature Learning via Self-Supervised Training
by: Zilong Ji, et al.
Published: (2020-10-01)

Few-Shot Image Segmentation Based on Dual Comparison Module and Sequential k-Shot Integration
by: Chencong Xing, et al.
Published: (2021-03-01)

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
by: Jiang, J., et al.
Published: (2022)

FSL-Kla: A few-shot learning-based multi-feature hybrid system for lactylation site prediction
by: Peiran Jiang, et al.
Published: (2021-01-01)

Few-Shot Learning for Chinese Legal Controversial Issues Classification
by: Yin Fang, et al.
Published: (2020-01-01)

Few-shot relation classification by context attention-based prototypical networks with BERT
by: Bei Hui, et al.
Published: (2020-06-01)