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Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid

Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid

Thanh-Huy Nguyen
Thi Kim Ngan Ngo
Mai-Anh Vu
Ting-Yuan Tu
ArXiv (abs)PDFHTML

Papers citing "Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid"

10 / 10 papers shown
Title
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme
Dinh Dai Quan Tran
Hoang-Thien Nguyen. Thanh-Huy Nguyen
Thanh-Huy Nguyen
Gia-Van To
T. Nguyen
Quan Nguyen
295
0
0
14 Apr 2025
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
Tran Quoc Khanh Le
Nguyen Lan Vi Vu
Ha-Hieu Pham
Xuan-Loc Huynh
T. Nguyen
Minh Huu Nhat Le
Quan Nguyen
Hien Nguyen
75
0
0
14 Apr 2025
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
Thanh-Huy Nguyen
Q. Kha
Thai Ngoc Toan Truong
Ba Thinh Lam
Ba-Hung Ngo
Quang Vinh Dinh
N. Le
32
13
0
07 Sep 2023
Delving into Ipsilateral Mammogram Assessment under Multi-View Network
Delving into Ipsilateral Mammogram Assessment under Multi-View Network
Thai Ngoc Toan Truong
Thanh-Huy Nguyen
Ba Thinh Lam
Duy V.M. Nguyen
Hong Phuc Nguyen
41
10
0
05 Sep 2023
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
89
315
0
09 Jun 2021
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan
Yifan Liu
Chunhua Shen
Zhibin Wang
Hao Li
48
112
0
15 Apr 2021
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
101
499
0
10 May 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
133
729
0
19 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
163
3,578
0
21 Jan 2020
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
121
843
0
08 Aug 2019

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