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Publication search results
found 172 matches
- 2024
- Mohamed Meselhy Eltoukhy, Mohamed Elhoseny, Khalid M. Hosny, Amit Kumar Singh:
Computer aided detection of mammographic mass using exact Gaussian-Hermite moments. J. Ambient Intell. Humaniz. Comput. 15(1): 1139-1147 (2024) - Luolin Chen, Yusong Zhou, Shengzhou Xu:
ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection. IEEE J. Biomed. Health Informatics 28(5): 2866-2878 (2024) - 2023
- Harmandeep Singh, Vipul Sharma, Damanpreet Singh:
Breast mass segmentation using mammographic data: a systematic review. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(6): 2161-2182 (2023) - Devi Vijayan, R. Lavanya:
Hybrid local descriptor for improved detection of masses in mammographic CAD systems. Int. J. Adv. Intell. Paradigms 25(1/2): 185-199 (2023) - Sujata Kulkarni, Rinku Rabidas:
Fully convolutional network for automated detection and diagnosis of mammographic masses. Multim. Tools Appl. 82(29): 44819-44840 (2023) - Wentao Xie, Qian Liu, Yongye Su, Yi Yan, Shujun Huang, Qin Kuang, Pingzhao Hu:
Patch-based deep learning models for breast mammographic mass classification. ICBBT 2023: 13-22 - S. Shrinithi, R. Lavanya, Devi Vijayan:
False Positive Reduction in Mammographic Mass Detection. ICCCSP 2023: 51-65 - Fayçal Touazi, Djamel Gaceb, Marouane Chirane, Selma Hrzallah:
Two-Stage Approach for Semantic Image Segmentation of Breast Cancer: Deep Learning and Mass Detection in Mammographic Images. IDDM 2023: 62-76 - Shamna Pootheri, Govindan V. K:
Localisation of Mammographic masses by Greedy Backtracking of Activations in the Stacked Auto-Encoders. CoRR abs/2305.05136 (2023) - 2022
- K. Yuvaraj, U. S. Ragupathy:
Hybrid Active Contour Mammographic Mass Segmentation and Classification. Comput. Syst. Sci. Eng. 40(3): 823-834 (2022) - Ansi Pan, Shengzhou Xu:
Mammographic mass recognition using feature reuse and channel attention mechanism. Int. J. Imaging Syst. Technol. 32(6): 2154-2162 (2022) - Prithul Sarker, Sushmita Sarker, George Bebis, Alireza Tavakkoli:
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images. ISVC (1) 2022: 419-430 - Prithul Sarker, Sushmita Sarker, George Bebis, Alireza Tavakkoli:
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images. CoRR abs/2210.13668 (2022) - 2021
- Romesh Laishram, Rinku Rabidas:
WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system. Appl. Soft Comput. 110: 107620 (2021) - Lazaros T. Tsochatzidis, Panagiota Koutla, Lena Costaridou, Ioannis Pratikakis:
Integrating segmentation information into CNN for breast cancer diagnosis of mammographic masses. Comput. Methods Programs Biomed. 200: 105913 (2021) - Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Yuxing Tang, Xiaohui Lin, Rushan Ouyang, Mingxiang Wu, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Peng Chang, Jie Ma:
MommiNet-v2: Mammographic multi-view mass identification networks. Medical Image Anal. 73: 102204 (2021) - Mahmud Parvez, Robert B. Eshun, Marwan U. Bikdash, A. K. M. Kamrul Islam:
A Machine Learning Predictive Model to Classify Severity of Breast Cancer Based on Mammographic Mass Dataset. AIKE 2021: 81-87 - Srinivashini N, Lavanya R:
False Positive Reduction in Mammographic Mass Detection Using Image Representations for Textural Analysis. ICCCSP 2021: 1-6 - Wei Liu, Xi-ming Li, Meng-fei Wu, Rong-Yao Xu, Kai Fei, Jiawei Yang:
Two-View Mammographic Mass Retrieval Using Deep Hashing. PAAP 2021: 130-135 - 2020
- Mohamed W. Abo El-Soud, Imad Zyout, Khalid M. Hosny, Mohamed Meselhy Eltoukhy:
Fusion of Orthogonal Moment Features for Mammographic Mass Detection and Diagnosis. IEEE Access 8: 129911-129923 (2020) - Theofilos Andreadis, Christodoulos Emmanouilidis, Stefanos Goumas, Dimitrios Koulouriotis:
Development of an intelligent CAD system for mass detection in mammographic images. IET Image Process. 14(10): 1960-1966 (2020) - Shengzhou Xu, Ehsan Adeli, Jie-Zhi Cheng, Lei Xiang, Yang Li, Seong-Whan Lee, Dinggang Shen:
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. Int. J. Imaging Syst. Technol. 30(4): 1095-1107 (2020) - Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif:
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification. J. Circuits Syst. Comput. 29(10): 2050156:1-2050156:19 (2020) - Fangyi Li, Changjing Shang, Ying Li, Qiang Shen:
Interpretable mammographic mass classification with fuzzy interpolative reasoning. Knowl. Based Syst. 191: 105279 (2020) - Junchuan Peng, Changyu Bao, Chuting Hu, Xianming Wang, Wenjing Jian, Weixiang Liu:
Automated mammographic mass detection using deformable convolution and multiscale features. Medical Biol. Eng. Comput. 58(7): 1405-1417 (2020) - Rinku Rabidas, Wasim Arif:
Characterization of mammographic masses based on local photometric attributes. Multim. Tools Appl. 79(29-30): 21967-21985 (2020) - Noriyasu Homma, Kyohei Noro, Xiaoyong Zhang, Yutaro Kon, Kei Ichiji, Ivo Bukovsky, Akiko Sato, Naoko Mori:
Human ability enhancement for reading mammographic masses by a deep learning technique. BIBM 2020: 2962-2964 - Romesh Laishram, Rinku Rabidas:
Detection of Mammographic Masses using FRFCM Optimized by PSO. CISP-BMEI 2020: 327-332 - Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Jie Ma, Peng Chang:
MommiNet: Mammographic Multi-view Mass Identification Networks. MICCAI (6) 2020: 200-210 - 2019
- Lin Zhou, Mingyue Ding, Liying Xu, Yurong Zhou, Xuming Zhang:
The Automatic Segmentation of Mammographic Mass Using the End-To-End Convolutional Network Based on Dense-Prediction. J. Medical Imaging Health Informatics 9(7): 1429-1434 (2019)
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