Exigent examiner and mean teacher: an advanced 3D CNN-based semi-supervised brain tumor segmentation framework

Exigent examiner and mean teacher: an advanced 3D CNN-based semi-supervised brain tumor segmentation framework

With the rise of deep learning applications to medical imaging, there has been a growing appetite for large and well-annotated datasets, yet annotation is time-consuming and hard to come by. In this work, we train a 3D semantic segmentation model in an advanced semi-supervised learning fashion. The...

Bibliografski detalji
Glavni autori:	Wang, Z, Voiculescu, ID
Format:	Conference item
Jezik:	English
Izdano:	Springer 2023

Slični predmeti

Application of semi-supervised Mean Teacher to rock image segmentation
od: Jiashan Li, i dr.
Izdano: (2025-01-01)

An uncertainty-aware transformer for MRI cardiac semantic segmentation via mean teachers
od: Wang, Z, i dr.
Izdano: (2022)

Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features
od: Mohammad D. Alahmadi, i dr.
Izdano: (2022-01-01)

A Semi-Supervised CNN With Fuzzy Rough C-Mean for Image Classification
od: Saman Riaz, i dr.
Izdano: (2019-01-01)

MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation
od: Gaoxiang Chen, i dr.
Izdano: (2021-12-01)

Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration
od: Syna Sreng, i dr.
Izdano: (2025-02-01)

MTCSNet: Mean Teachers Cross-Supervision Network for Semi-Supervised Cloud Detection
od: Zongrui Li, i dr.
Izdano: (2023-04-01)

Semi-supervised segmentation of retinoblastoma tumors in fundus images
od: Amir Rahdar, i dr.
Izdano: (2023-08-01)

Computationally-efficient vision transformer for medical image semantic segmentation via dual pseudo-label supervision
od: Wang, Z, i dr.
Izdano: (2022)

Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation
od: Chenwei Wang, i dr.
Izdano: (2022-09-01)

The student-teacher framework guided by self-training and consistency regularization for semi-supervised medical image segmentation
od: Boliang Li, i dr.
Izdano: (2024-01-01)

The student-teacher framework guided by self-training and consistency regularization for semi-supervised medical image segmentation.
od: Boliang Li, i dr.
Izdano: (2024-01-01)

Exigency, Coercion, and Duress: from Synonymity to Difference in Meaning
od: ali gholami
Izdano: (2012-08-01)

A Semi-Supervised Multi-Region Segmentation Framework of Bladder Wall and Tumor with Wall-Enhanced Self-Supervised Pre-Training
od: Jie Wei, i dr.
Izdano: (2024-12-01)

Semi-Supervised NMF-CNN for Sound Event Detection
od: Teck Kai Chan, i dr.
Izdano: (2021-01-01)

SSBTCNet: Semi-Supervised Brain Tumor Classification Network
od: Zubair Atha, i dr.
Izdano: (2023-01-01)

Deep semi-supervised learning for brain tumor classification
od: Chenjie Ge, i dr.
Izdano: (2020-07-01)

Semi-Supervised Learning Framework for Aluminum Alloy Metallographic Image Segmentation
od: Dali Chen, i dr.
Izdano: (2021-01-01)

Exigencies in the field
od: Alison Heller
Izdano: (2021-06-01)

EVALUATION OF SEMI-SUPERVISED LEARNING FOR CNN-BASED CHANGE DETECTION
od: E. Bousias Alexakis, i dr.
Izdano: (2021-06-01)

Semi-supervised tooth instance segmentation
od: Ling, Zijie
Izdano: (2024)

Weakly- and semi-supervised panoptic segmentation
od: Li, Q, i dr.
Izdano: (2018)

MCC: Multi-Cluster Contrastive Semi-Supervised Segmentation Framework for Echocardiogram Videos
od: Yu-Jen Chen, i dr.
Izdano: (2025-01-01)

A Novel Perturbation Consistency Framework in Semi-Supervised Medical Image Segmentation
od: Xiaoxuan Ma, i dr.
Izdano: (2024-09-01)

Semi-supervised semantic segmentation framework with pseudo supervisions for land-use/land-cover mapping in coastal areas
od: Jifa Chen, i dr.
Izdano: (2022-08-01)

Polite Teacher: Semi-Supervised Instance Segmentation With Mutual Learning and Pseudo-Label Thresholding
od: Dominik Filipiak, i dr.
Izdano: (2024-01-01)

Brain Tumor Segmentation Using Enhancement Convolved and Deconvolved CNN Model
od: Mohammed Almukhtar, i dr.
Izdano: (2024-03-01)

From Exigent to Adaptive
od: Elizabeth Gálvez
Izdano: (2019-12-01)

Crossbite: An Orthodontic Exigency
od: Sushil Kumar, i dr.
Izdano: (2016-09-01)

Semi-Supervised Person Detection in Aerial Images with Instance Segmentation and Maximum Mean Discrepancy Distance
od: Xiangqing Zhang, i dr.
Izdano: (2023-06-01)

Nonparametric Bayesian Semi-supervised Word Segmentation
od: Ryo Fujii, i dr.
Izdano: (2021-03-01)

Revisiting Consistency for Semi-Supervised Semantic Segmentation
od: Ivan Grubišić, i dr.
Izdano: (2023-01-01)

Infrared Ship Segmentation Based on Weakly-Supervised and Semi-Supervised Learning
od: Isa Ali Ibrahim, i dr.
Izdano: (2024-01-01)

Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN
od: Leiyao Liao, i dr.
Izdano: (2021-12-01)

Advanced Brain Tumor Segmentation With a Multiscale CNN and Conditional Random Fields
od: Ala Guennich, i dr.
Izdano: (2025-01-01)

State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images
od: Muhammad Yaqub, i dr.
Izdano: (2020-07-01)

SemiPolypSeg: Leveraging Cross-Pseudo Supervision and Contrastive Learning for Semi-Supervised Polyp Segmentation
od: Ping Guo, i dr.
Izdano: (2024-09-01)

MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery
od: Yongjun He, i dr.
Izdano: (2023-01-01)

FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images
od: Sneha Paul, i dr.
Izdano: (2024-03-01)

Sources, raisons et exigences
od: Bruno Guindon
Izdano: (2014-06-01)