Loading [Contrib]/a11y/accessibility-menu.js

Special Issue: Computer-aided Cancer Detection: Recent Advances

Guest Editors

Dr. Jinshan Tang
George Mason University, USA
Email: jtang25@gmu.edu


Dr. Bo Peng
Southwest Petroleum University, China
Email: bopeng@swpu.edu.cn


Dr. Nan Mu
Michigan Technological University, USA
Email: nmu2@mtu.edu

Manuscript Topics

With the progress of new technologies, cancer detection, diagnosis and treatment have obtained great development. However, cancer is still a big threat to human life and main cause of human death. The statistics from the World Health Organization (WHO) shows that cancers account for nearly 10 million deaths in 2020, or nearly one in six deaths. Fighting against cancers is still a main task of many researchers.


Artificial intelligence-based cancer detection has obtained great progress in the past decades and the deep research on deep learning techniques has brought revolution to cancer detection. Computer-aided detection or diagnosis (CAD) systems based on deep learning have been proven to offer better solutions to the detection and diagnosis of different types of cancers. However, the performance of many current CAD systems can’t meet the needs of real applications. Thus, how to improve the performance of the CAD systems is still a key issue for real applications. Thus, to improve the performance of the current CAD systems, further research of different key technologies used in different CAD systems has become important and necessary.


The aim of this special issue is to attract high-quality papers in key technologies used in different computer aided cancer detection and diagnosis systems. We hope the special issue can push the progress of novel key technologies which could be used to further improve the performance of the current computer aided cancer detection systems.


Topics of interest include, but are not limited, to the ones listed as follows:
• New machine learning techniques for cancer detection
• Fusion of different imaging Multimodality for cancer detection
• Cancer detection with mobile device
• Lesson segmentation
• Image enhancement techniques for cancer detection


Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 01 March 2024

Published Papers(10)

Research article
Simultaneous segmentation and classification of colon cancer polyp images using a dual branch multi-task learning network
Chenqian Li Jun Liu Jinshan Tang
2024, Volume 21, Issue 2: 2024-2049. doi: 10.3934/mbe.2024090
Abstract HTML PDF Cited (1) Viewed (2304)
Research article
Anoikis-related mRNA-lncRNA and DNA methylation profiles for overall survival prediction in breast cancer patients
Huili Yang Wangren Qiu Zi Liu
2024, Volume 21, Issue 1: 1590-1609. doi: 10.3934/mbe.2024069
Abstract HTML PDF Cited (2) Viewed (2090)
Review
Advances in computational methods for identifying cancer driver genes
Ying Wang Bohao Zhou Jidong Ru Xianglian Meng Yundong Wang Wenjie Liu
2023, Volume 20, Issue 12: 21643-21669. doi: 10.3934/mbe.2023958
Abstract HTML PDF Viewed (2168)
Research article
MRChexNet: Multi-modal bridge and relational learning for thoracic disease recognition in chest X-rays
Guoli Wang Pingping Wang Jinyu Cong Benzheng Wei
2023, Volume 20, Issue 12: 21292-21314. doi: 10.3934/mbe.2023942
Abstract HTML PDF Cited (2) Viewed (1870)
Research article
Automated polyp segmentation based on a multi-distance feature dissimilarity-guided fully convolutional network
Nan Mu Jinjia Guo Rong Wang
2023, Volume 20, Issue 11: 20116-20134. doi: 10.3934/mbe.2023891
Abstract HTML PDF Cited (1) Viewed (1554)
Research article
Integrative approach for classifying male tumors based on DNA methylation 450K data
Ji-Ming Wu Wang-Ren Qiu Zi Liu Zhao-Chun Xu Shou-Hua Zhang
2023, Volume 20, Issue 11: 19133-19151. doi: 10.3934/mbe.2023845
Abstract HTML PDF Viewed (1931)
Research article
Automated tumor segmentation in thermographic breast images
Thaweesak Trongtirakul Sos Agaian Adel Oulefki
2023, Volume 20, Issue 9: 16786-16806. doi: 10.3934/mbe.2023748
Abstract HTML PDF Cited (6) Viewed (2207)
Research article
Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning
Yifan Wang Lu Zhang Yan Li Fei Wu Shiyu Cao Feng Ye
2023, Volume 20, Issue 6: 11196-11211. doi: 10.3934/mbe.2023496
Abstract HTML PDF Cited (6) Viewed (2667)
Research article
Construction and application of Chinese breast cancer knowledge graph based on multi-source heterogeneous data
Bo An
2023, Volume 20, Issue 4: 6776-6799. doi: 10.3934/mbe.2023292
Abstract HTML PDF Cited (8) Viewed (3426)
Research article
A robust local pulse wave imaging method based on digital image processing techniques
Shuyan Liu Peilin Li Yuanhao Tan Geqi Ding Bo Peng
2023, Volume 20, Issue 4: 6721-6734. doi: 10.3934/mbe.2023289
Abstract HTML PDF Viewed (2321)