Image Analysis Algorithms | List of Frontiers open access articles

Original Research

Published on 13 May 2021

FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics

in Computer Vision

Tran Minh Quan
David Grant Colburn Hildebrand
Won-Ki Jeong

Frontiers in Computer Science

doi 10.3389/fcomp.2021.613981

19,593 views
121 citations

Review

Published on 01 Jul 2024

A survey on deep learning in medical ultrasound imaging

in Radiation Detectors and Imaging

Ke Song
Jing Feng
Duo Chen

Frontiers in Physics

doi 10.3389/fphy.2024.1398393

19,233 views
26 citations

Original Research

Published on 03 Oct 2024

WSSS-CRAM: precise segmentation of histopathological images via class region activation mapping

in Systems Microbiology

Ningning Pan
Xiangyue Mi
Hongzhuang Li
Xinting Ge
Xiaodan Sui
Yanyun Jiang

Frontiers in Microbiology

doi 10.3389/fmicb.2024.1483052

2,098 views

Original Research

Published on 17 May 2022

Automatic and Label-Free Analysis of the Microstructure Feature Differences Between Normal Brain Tissue, Low-Grade, and High-Grade Gliomas Using the Combination of Multiphoton Microscopy and Image Analysis

in Optics and Photonics

Zanyi Wu
Xingfu Wang
Na Fang
Yuanxiang Lin
Liqin Zheng
Yihui Xue
Shanshan Cai
Jianxin Chen
Ni Lin
Dezhi Kang

Frontiers in Physics

doi 10.3389/fphy.2022.865455

2,059 views
1 citation

Review

Published on 23 Feb 2015

Pitfalls in the Neuroimaging of Glioblastoma in the Era of Antiangiogenic and Immuno/Targeted Therapy – Detecting Illusive Disease, Defining Response

in Neuro-Oncology and Neurosurgical Oncology

Raymond Y. Huang
Martha R. Neagu
David A. Reardon
Patrick Y. Wen

Frontiers in Neurology

doi 10.3389/fneur.2015.00033

26,785 views
152 citations

Original Research

Published on 31 Oct 2025

Multiphoton microscopy imaging of fibrous meningiomas based on the combination of multichannel mode and lambda mode

in Neural Technology

Linghan You
Linjing Shi
Yuqing Huang
Lingxin Pan
Shiying Zheng
Yingyuan Wang
Zanyi Wu
Xingfu Wang
Jianxin Chen
Na Fang

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1680408

1,231 views

Original Research

Published on 09 May 2023

The applicability of transperceptual and deep learning approaches to the study and mimicry of complex cartilaginous tissues

in Computational Materials Science

J. Waghorne
C. Howard
H. Hu
J. Pang
W. J. Peveler
L. Harris
O. Barrera

Frontiers in Materials

doi 10.3389/fmats.2023.1092647

2,697 views
2 citations

Original Research

Published on 20 Apr 2022

Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography

in Breast Cancer

Yun Wan
Yunfei Tong
Yuanyuan Liu
Yan Huang
Guoyan Yao
Daniel Q. Chen
Bo Liu

Frontiers in Oncology

doi 10.3389/fonc.2022.880150

5,859 views
4 citations

Articles

FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics

A survey on deep learning in medical ultrasound imaging

WSSS-CRAM: precise segmentation of histopathological images via class region activation mapping

Automatic and Label-Free Analysis of the Microstructure Feature Differences Between Normal Brain Tissue, Low-Grade, and High-Grade Gliomas Using the Combination of Multiphoton Microscopy and Image Analysis

Pitfalls in the Neuroimaging of Glioblastoma in the Era of Antiangiogenic and Immuno/Targeted Therapy – Detecting Illusive Disease, Defining Response

Multiphoton microscopy imaging of fibrous meningiomas based on the combination of multichannel mode and lambda mode

The applicability of transperceptual and deep learning approaches to the study and mimicry of complex cartilaginous tissues

Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography