Cargando…

Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery

The total boll count from a plant is one of the most important phenotypic traits for cotton breeding and is also an important factor for growers to estimate the final yield. With the recent advances in deep learning, many supervised learning approaches have been implemented to perform phenotypic tra...

Descripción completa

Detalles Bibliográficos
Autores principales:	Adke, Shrinidhi, Li, Changying, Rasheed, Khaled M., Maier, Frederick W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147286/ https://www.ncbi.nlm.nih.gov/pubmed/35632096 http://dx.doi.org/10.3390/s22103688

Ejemplares similares

Deep graph cut network for weakly-supervised semantic segmentation
por: Feng, Jiapei, et al.
Publicado: (2021)

A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting
por: Ghosal, Sambuddha, et al.
Publicado: (2019)

Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks
por: Chen, Siwei, et al.
Publicado: (2022)

Instance Segmentation to Estimate Consumption of Corn Ears by Wild Animals for GMO Preference Tests
por: Adke, Shrinidhi, et al.
Publicado: (2021)

Self-supervised machine learning for live cell imagery segmentation
por: Robitaille, Michael C., et al.
Publicado: (2022)

Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning
por: Zhou, Lei, et al.
Publicado: (2023)

Weakly Supervised Building Semantic Segmentation Based on Spot-Seeds and Refinement Process
por: Moghalles, Khaled, et al.
Publicado: (2022)

Practical Weak Supervision
por: Tok, Wee, et al.
Publicado: (2021)

Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning”
por: Zhou, Lei, et al.
Publicado: (2023)

Semi-supervised Learning for Weed and Crop Segmentation Using UAV Imagery
por: Nong, Chunshi, et al.
Publicado: (2022)

Weakly-supervised deep learning models in computational pathology
por: Augustine, Tanya N.
Publicado: (2022)

Weakly supervised segmentation for real-time surgical tool tracking
por: Lee, Eung-Joo, et al.
Publicado: (2019)

Weakly supervised underwater fish segmentation using affinity LCFCN
por: Laradji, Issam H., et al.
Publicado: (2021)

Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester
por: Kim, Wan-Soo, et al.
Publicado: (2021)

Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
por: Hassan, Haseeb, et al.
Publicado: (2022)

Application of improved transformer based on weakly supervised in crowd localization and crowd counting
por: Gao, Hui, et al.
Publicado: (2023)

Weakly supervised segmentation of tumor lesions in PET-CT hybrid imaging
por: Früh, Marcel, et al.
Publicado: (2021)

WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation
por: Ou, Jia-Rong, et al.
Publicado: (2021)

Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
por: Kim, Jaeil, et al.
Publicado: (2021)

Weakly Supervised Deep Learning for Tooth-Marked Tongue Recognition
por: Zhou, Jianguo, et al.
Publicado: (2022)

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
por: Liu, Xiaoming, et al.
Publicado: (2022)

CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection
por: Sharif, Md. Haidar, et al.
Publicado: (2023)

Activation extending based on long-range dependencies for weakly supervised semantic segmentation
por: Liu, Haipeng, et al.
Publicado: (2023)

Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction
por: Huang, Qing, et al.
Publicado: (2020)

Weakly-supervised learning for lung carcinoma classification using deep learning
por: Kanavati, Fahdi, et al.
Publicado: (2020)

Accurate somatic variant detection using weakly supervised deep learning
por: Krishnamachari, Kiran, et al.
Publicado: (2022)

Weak supervision as an efficient approach for automated seizure detection in electroencephalography
por: Saab, Khaled, et al.
Publicado: (2020)

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
por: Otálora, Sebastian, et al.
Publicado: (2021)

Stink Bug Feeding Induces Fluorescence in Developing Cotton Bolls
por: Xia, Jinjun, et al.
Publicado: (2011)

Weakly Supervised Violence Detection in Surveillance Video
por: Choqueluque-Roman, David, et al.
Publicado: (2022)

Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images
por: Yang, Guanyu, et al.
Publicado: (2020)

AAWS-Net: Anatomy-aware weakly-supervised learning network for breast mass segmentation
por: Sun, Yeheng, et al.
Publicado: (2021)

Weakly supervised segmentation of COVID-19 infection with local lesion coherence on CT images
por: Sun, Wanchun, et al.
Publicado: (2023)

DDeep3M+: adaptive enhancement powered weakly supervised learning for neuron segmentation
por: Xiao, Rong, et al.
Publicado: (2023)

Weakly Supervised Collaborative Learning for Airborne Pollen Segmentation and Classification from SEM Images
por: Li, Jianqiang, et al.
Publicado: (2023)

A clinical text classification paradigm using weak supervision and deep representation
por: Wang, Yanshan, et al.
Publicado: (2019)

Deep learning of cuneiform sign detection with weak supervision using transliteration alignment
por: Dencker, Tobias, et al.
Publicado: (2020)

Generalizable Beat-by-Beat Arrhythmia Detection by Using Weakly Supervised Deep Learning
por: Liu, Yang, et al.
Publicado: (2022)

Editorial: Weakly supervised deep learning-based methods for brain image analysis
por: Zhu, Hancan, et al.
Publicado: (2022)

Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning
por: Nartey, Obed Tettey, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_g0dda8idhc18dj9l0ame1mio5f