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1st MICAD 2020: Oxford, UK
- Ruidan Su, Han Liu:

Proceedings of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2020, Oxford, UK, January 20-21, 2020. Lecture Notes in Electrical Engineering 633, Springer 2020, ISBN 978-981-15-5198-7
Medical Imaging
- Sergey A. Eolchiyan, Mikhail M. Novikov

, Svetlana A. Cherebylo:
Computer Modeling and Laser Stereolithography in Cranio-Orbital Reconstructive Surgery. 1-6 - Pengcheng Li, Monan Wang:

Sparse Representation Label Fusion Method Combining Pixel Grayscale Weight for Brain MR Segmentation. 7-16 - Felisa J. Vázquez-Abad, Silvano Bernabel, Daniel Dufresne, Rishi Sood, Thomas Ward, Daniel Amen:

Deep Learning for Mental Illness Detection Using Brain SPECT Imaging. 17-26 - Irina-Andra Tache

, Dimitrios Glotsos
:
Vessel Segmentation and Stenosis Quantification from Coronary X-Ray Angiograms. 27-34 - Krishna Ganesh, Swarnalatha Rajaguru

:
Improved Brain Tumor Segmentation and Diagnosis Using an SVM-Based Classifier. 35-45 - Misgana Negassi

, Ujwala Parupalli, Rodrigo Suarez-Ibarrola, Annette Schmitt, Simon Hein, Arkadiusz Miernik, Alexander Reiterer:
3D-Reconstruction and Semantic Segmentation of Cystoscopic Images. 46-55 - Zahra Amiri, Fatemeh Tavakoli, Vala Mehryar Alviri

, Morteza Modarresi Asem
:
A Biomedical Survey on Osteoporosis Classification Techniques. 56-76 - Yuan Wang, Zhiyou He, Peizhen Xie, Canqun Yang, Yu Zhang, Fangfang Li, Xiang Chen, Kai Lu, Tao Li, Jiao Zhou, Ke Zuo:

Segment Medical Image Using U-Net Combining Recurrent Residuals and Attention. 77-86 - Shou-Hsiung Cheng:

A New Importance-Performance Analysis by Size-Insensitive Integrity-Based Fuzzy C-Means. 87-94 - Yihao Chen, Xianqing Chen:

Gingivitis Identification via GLCM and Artificial Neural Network. 95-106 - Yu Kong

, Yueqin Dun, Jiandong Meng, Liang Wang, Wanqiang Zhang, Xinchun Li:
A Novel Classification Method of Medical Image Segmentation Algorithm. 107-115 - Xiaodong He

, Yu Fu, Yingqiu Bao, Jianmin Chang, Yibo Xie, Weiping Li, Jing Zhang:
Pathological Changes Discover Network: Discover the Pathological Changes of Perivascular Dermatitis by Semi-supervised Learning. 116-123
Computer-Aided Diagnosis
- Meijing Gao, Zhu Liu, Liuzhu Wang, Bozhi Zhang, Shiyu Li:

Optical Micro-scanning Reconstruction Technique for a Thermal Microscope Imaging System. 124-133 - Kun Wang, Guosheng Zhao:

A Survey for Traditional, Cascaded Regression, and Deep Learning-Based Face Alignment. 134-144 - Elena Doering, Anna Pukropski, Ulf Krumnack

, Axel Schaffland
:
Automatic Detection and Counting of Malaria Parasite-Infected Blood Cells. 145-157 - Ahmed Rasheed, Muhammad Shahzad Younis, Muhammad Bilal, Bozhi Zhang, Maha Rasheed:

Classification of Chest Diseases Using Wavelet Transforms and Transfer Learning. 158-165 - Ashfia Binte Habib

, Mahmud Elahi Akhter
, Rafeed Sultaan, Zunayeed Bin Zahir, Rishad Arfin
, Fahimul Haque
, Syed Athar Bin Amir, Md. Shahriar Hussain, Rajesh Palit
:
Performance Analysis of Different 2D and 3D CNN Model for Liver Semantic Segmentation: A Review. - Minghuan Zhang, Wenjian Liu, Xuan Zhang, Ying Chen, Yajia Gu, Qin Xiao:

Application of Image Segmentation and Convolutional Neural Network in Classification Algorithms for Mammary X-ray Molybdenum Target Image. 175-187 - Zidui Xu, Tian Guan, Yonghong He:

Fusion Segmentation of Head Medical Image with Partially Annotated Data. 188-197 - Chen Li, Wei Chen, Xin Luo, Mingfei Wu, Xiaogang Jia, Yusong Tan, Zhiying Wang:

Application of U-Shaped Convolutional Neural Network Based on Attention Mechanism in Liver CT Image Segmentation. 198-206 - Na Yao, Xiaofang Zhao, Huazhu Liu:

Design of Photovoltaic Power Intelligent Patrol Robot. 207-219 - Xinfeng Zhang

, Yunwei Zhang, Ziqian Huang, Ying Yuan, Xiangzhong Wei:
Application of Intelligent Calculation Method in the Cage Simulation. 220-228 - Mahmud Elahi Akhter

, Ashfia Binte Habib
, Rishad Arfin
, Fahimul Haque
, Syed Athar Bin Amir, Zunayeed Bin Zahir, Md. Shahriar Hussain, Rajesh Palit
:
An Analysis of Multi-organ Segmentation Performance of CNNs on Abdominal Organs with an Emphasis on Kidney. 229-241

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